30 April 2018

ACCC Dairy Sector Restructuring report

The ACCC has released its final report regarding investigation of the Australian dairy industry, calling for changes to the regulatory framework to address substantive market failure.

The report refers to ...
significant imbalances in bargaining power at each level of the dairy supply chain. This begins with the relationships between retailers and dairy processors, and progresses down to the relationship between processors and farmers.
The ACCC has identified a range of market failures resulting from the strong bargaining power imbalance and information asymmetry in farmer-processor relationships. These features of the industry result in practices which ultimately cause inefficiencies in dairy production. Neither the existing provisions of the Competition and Consumer Act 2010 (CCA), nor a voluntary code of conduct, sufficiently address these market failures. Therefore, the ACCC makes eight recommendations for improved transparency and allocation of risk in the commercial relationship between Australian dairy processors and farmers. Most significantly, the ACCC recommends that a mandatory code of conduct be introduced to address the market failures we have identified.
The report states
The typical Australian dairy farm is a family owned and operated enterprise which involves high fixed costs and requires year-round intensive work amid uncertain and sometimes damaging climate conditions. For most dairy farmers, profitability is uncertain and subject to many variables beyond their control.
Many farmers believe that the major supermarkets pricing their milk at $1 per litre devalues the work they, their families and staff do to consistently produce high quality milk. The ACCC acknowledges and respects these concerns. $1 per litre is an arbitrary price that has no direct relationship to the cost of production for the supply of milk by farmers and processors to the supermarkets.
Recognising these concerns, the ACCC conducted an in-depth examination of the effects of retail pricing along the dairy supply chain. This included the use of compulsory information gathering powers to obtain data and documents from supermarkets and processors from FY2010 to FY2016, and summonsing all relevant processing and retailing businesses to give evidence under oath in private hearings.
The ACCC did not obtain any evidence that supermarket pricing, including $1 per litre milk, has a direct impact on farmgate prices. Importantly, we found that contracts for the supply of private label milk allow processors to pass the farmgate price paid to farmers through to the wholesale prices they charge to retailers. This means that processors do not have an incentive to reduce farmgate prices as a result of the lower wholesale prices they receive for private label milk, as the farmgate prices are passed through to the supermarkets.
Further, farmers’ lack of bargaining power means that they are unlikely to benefit from an increase in the retail (or wholesale) prices of private label milk or other dairy products. Even if processors were to receive higher wholesale prices from sales to supermarkets, this does not mean the processors will pay farmers any more than they have to secure milk.
Farmers’ ability to capture their appropriate share of profits will, as in all industries, depend on their bargaining power. As noted above, most dairy farmers have little bargaining power and limited scope to reposition their businesses or switch to a different farm enterprise. Farmers are also disadvantaged by a significant imbalance in the amount of pricing, market and product information available to them compared with processors. Processors are also far better informed about the minimum price that farmers are likely to accept than farmers are about the maximum price that processors are willing to pay. These information asymmetries mean that farmers are more likely to settle for a good offer rather than a better offer that could be available if they were better informed.
We have found that the bargaining power imbalance and this information asymmetry result in practices that transfer disproportionate levels of risk to farmers and soften competition between processors. These include complex and poorly timed pricing information, and contract terms which deter switching. These features add to uncertainty of farm income and make it difficult for farmers to identify and act when it is in their interests to switch to a competitive offer from another processor.
An example of this risk transfer was the retrospective price step-downs in 2016, which demonstrated that contractual arrangements between processors and farmers are structured in a way that allows processors to lessen the impact of their poor commercial decisions by retrospectively reducing the price they pay for farmers’ milk, long after the milk has left the farm.  ... 
Two main concerns arise from the ACCC’s key findings. First, bargaining power imbalances deter productivity-enhancing investments by farmers if they are unable to capture a sufficient share of the returns to make their investment worthwhile. Second, restrictions on switching soften competition between processors and reinforce farmers’ poor bargaining position.
Following consultation with the industry on our interim findings and recommendations, the ACCC concludes that a mandatory code of conduct would improve the quality of information and price signals, enable fairer allocation of risk, and remove restrictions on farmers’ ability to switch processors. While the introduction of a mandatory code will not overcome farmers’ relative bargaining disadvantage, it will mitigate some of the significant negative consequences. The removal of barriers to switching will also enhance existing competition between processors for raw milk.
Most major dairy processors are now corporations and not farmer-based cooperatives. However, industry practices have not substantially changed to reflect that processor and farmer are interests are no longer closely aligned. A mandatory code will assist this transition, by clearly setting out the rights and obligations of farmers and processors.
A change to industry practices to the benefit of farmers will mean some loss of bargaining power for processors relative to farmers. As expected, therefore, most processors opposed this recommendation. However, having carefully considered the submissions opposed to this recommendation, we consider that a mandatory code of conduct can be designed in a manner that improves the efficiency of the industry without substantial regulatory burden on processors.
It goes on to comment
Supermarkets have significant bargaining power in their dealings with processors in most circumstances. This is reflected in the low wholesale prices supermarkets are able to negotiate and the terms of supply agreements between supermarkets and processors. Due to their bargaining power, supermarkets also have significant control over the level of risk they choose to be exposed to and the risks they pass onto processors. The type and extent of the risks that processors are exposed to depends on the products they manufacture and the nature of their wholesale supply agreements with customers. These include, for instance, exports, long term private label contracts with supermarkets or short term domestic supply agreements. Processors that are able to diversify by producing a variety of products and supplying a mixture of international and domestic customers reduce their exposure to specific risks.
Processors that mainly supply fresh dairy products for domestic consumption generally have more certainty about wholesale prices. As a result they are more likely to offer farmers fixed price contracts, which results in more price certainty for farmers. However, these processors face some uncertainty over continuity of supply to supermarkets which can limit their appetite for offering multi-year supply contracts to farmers. In recognition of the significant imbalance in bargaining power between supermarkets and their suppliers, including processors, supermarkets’ dealings with processors are presently governed by the Food and Grocery Code of Conduct.  This is a prescribed voluntary code under the Act.   Processor discretion to vary prices allocates disproportionate risk to farmers
Processors have significant bargaining power over farmers. Dairy farm businesses are typically small operations supplying much larger and financially stronger processors. Further, as raw milk is an essentially generic product, processors’ options for acquiring milk far outweigh farmers’ options for selling it. This makes it easier for a processor to threaten to not purchase from farmers in negotiations. This is aggravated by the perishable nature of milk, which prevents farmers from withholding supply to negotiate better terms with processors. Consequently, farmers are rarely able to negotiate contracts or prices with processors.
The bargaining power imbalance is reflected in farmgate prices, milk supply contract terms that favour processors and the extent to which processors can pass on risk to farmers.
Supply contracts between processors and farmers vary significantly, ranging from multi-year fixed- price contracts to arrangements that are effectively day-by-day, relying on terms in the processor’s Supplier Handbook which can be varied by the processor at any time. Farmers can face significant uncertainty in both the price they receive for their milk and the costs they incur to produce milk. This uncertainty can make it difficult for farmers to plan and make investment decisions to increase their productivity.
Farmers in export-focused regions in particular face uncertainty about the milk price they receive from year to year and within a season. This uncertainty, and the associated risks, largely reflects the market uncertainty faced by processors.
Farmers in domestic-focused regions experience greater price certainty, but have greater cost uncertainty due to their stronger reliance on fodder inputs to produce year-round milk.
In general terms, processors that pass on uncertainty and risks to farmers do so by adopting any or all of the following practices: ƒƒoffering only indicative pricing for a contract period (in some cases changing farm gate prices mid- season) ƒƒincentivising flat milk supply (or, penalising seasonal milk supply) ƒƒoffering only short term supply contracts to farmers.
The events of 2016 demonstrate that within-season price step-downs can cause significant detriment to farmers and the industry more broadly. The 2016 step-downs also demonstrate that processors generally have significant discretion when deciding whether to vary farmgate milk prices. The ACCC’s view is that processors should be able to manage their risk exposure during a dairy season without needing to shift this risk to farmers through mid-season milk price adjustments. This might be achieved by processors offering fixed prices for most of the milk they acquire within a season, so that farmers can choose the level of milk price risk their business is exposed to. Partially fixed price contracts have the capacity to reduce price uncertainty for farmers, allowing them to make better planning and investment decisions.
Farmers have limited insight into how farmgate milk prices are set by individual processors. Pricing offers from processors are complicated and often difficult to interpret. Final pricing is determined by many variables. These can be difficult for processors to forecast accurately at the time they make their opening offers to farmers for consideration, meaning that prices received by farmers can vary significantly from both the announced headline farmgate price, and the income estimates provided by the processors. This uncertainty arises even in the absence of mid-season price adjustments such as step-downs.
Dairy farmers rely heavily on income estimates prepared by processors when budgeting for a dairy season. However, they may not be aware of the assumptions made to produce these estimates, and the consequences of these assumptions not being met. As such, some farmers receive payments that are significantly less than they projected. Initial price offers from processors are often made very close to the commencement of, or sometimes after a new contract period has commenced. When combined with the complexity of offers, this timing reduces farmers’ ability to make well-informed decisions about production and budgeting, and whether to switch to a better offer from another processor.
Practices associated with the timing of Opening Price announcements have the potential to soften competition between processors and lower farmgate prices, especially if processors simply follow the price leads of other processors to avoid price competition. However, the ACCC analysed the historical price leadership behaviour of Victorian processors over time, and did not find any clear pattern of price leadership. In particular, we did not find evidence to suggest that Murray Goulburn or any other processor has in the past consistently signalled an Opening Price which other processors have then followed. Announced prices often do not reflect actual prices paid to farmers Processors typically make uniform pricing offers by announcing a single farmgate price at the start of the season. However, the actual prices that individual farmers receive vary significantly from the announced price. Further, farmers each receive different prices from processors despite the opening offers generally being uniform. The extent to which farmers generally receive prices above or below a processor’s announced price varies from processor to processor and from year to year.
A range of factors influence the farmgate milk price paid to farmers. These include: ƒƒCompetition between processors for the acquisition of raw milk—the degree of competition for farmgate milk varies significantly between regions and at different times of the milk production cycle. ƒƒFarm size—the largest farms typically receive better farmgate milk prices than smaller farms. This occurs for a number of reasons, including pricing incentives in contracts being tailored to favour larger farms and in some cases, the largest farms negotiating their own supply contracts. ƒƒIncentives for year-round milk production—processors may set price offers to encourage farmers to adopt a less-seasonal milk supply profile (flat production). The extent to which processors encourage flat production varies between regions and processors. In some regions the ability of a farmer to respond to seasonal pricing has a significant impact on the overall farmgate milk price they receive. ƒƒThe quality of milk produced—quality factors significantly affect the farmgate milk price. .... Overly complex milk supply contracts and price offers, delayed loyalty payments, and price announcements which allow farmers insufficient time to compare alternative offers, also restrict farmers’ ability to compare and switch between processors soften competition at the farmgate. Exclusive supply clauses in milk supply agreements do not restrict farmer switching and can be efficient for both farmers and processors. However, these kinds of clauses can be anti-competitive if they have the purpose or effect of substantially lessening competition in a market.
In discussing the 'supermarket milk wars' the report comments
From 2014 onwards, supermarkets have used their bargaining power to encourage increased competition between processors for the supply of private label milk. This has enabled supermarkets to negotiate lower wholesale milk supply costs and improve their profit margins. While margins earned by supermarkets on private label milk are lower than for many other products, including branded milk, supermarkets still generally sell private label milk at a gross profit, except at times in Tasmania and Queensland (once distribution costs are taken into account). Supermarkets choose to absorb lower and sometimes negative margins in higher cost regions while making higher margins in lower cost states and from more profitable products. This is not particular to their dairy products, and enables them to maintain a competitive and consistent national pricing policy designed to build trust among consumers. In some instances supermarkets stock locally-sourced produce to support farmers in the region. Processors’ gross margins on private label milk have generally fallen, with wholesale prices approaching average production costs. Despite this, processors have continued to compete strongly for private label $ per litre milk contracts because the volumes of milk involved provide economies of scale in production, adding to overall profitability. Processors generally earn significantly higher profits on most other dairy products. These margins vary significantly between products, states and processors, but range between 30 and 60 per cent. Evidence obtained by the ACCC indicates that processors appear to offset lower margins on private label contracts with the higher margins earned on branded products. Margins for most other dairy products have been stable or decreasing since 2011.The ACCC did not obtain evidence of wholesale prices falling below levels that would force efficient processors to exit the industry. Although processors’ gross margins are very small for private label milk, they are positive, and processors are generally profitable overall. ...
Deregulation, and the gradual removal of pricing support for farmers, has had a pronounced impact on milk production and farmer profitability in Australia. Farmgate prices in Queensland and WA fell significantly immediately following deregulation, as processors sought to reduce production volumes to the level required to meet domestic demand. Many higher cost farms exited at this time. The ACCC has found that: ƒƒproduction volumes have trended down in these higher cost regions since price support was removed; the price of private label milk does not appear to have altered this trend ƒƒfarm exit trends in the higher cost regions have not changed in response to the introduction of one dollar per litre milk ƒƒtotal farm numbers, output and profitability trends have not changed since the introduction of one dollar per litre milk.
Competition between processors facilitates the lowest possible wholesale prices. Therefore it is not in the interests of supermarkets to force wholesale prices down to a point which causes processors to be unprofitable and exit. Processors’ margins on private label milk are already small and it may be hard for processors to achieve further cost efficiencies. Private label milk prices also constrain the wholesale prices that processors can achieve with non-grocery customers. This is straining processor profitability in high cost regions where supermarkets sell private label milk at low or negative margins. Therefore, wholesale prices will likely have to rise at some point in the future to maintain processor profitability. In turn, this would require action by the supermarkets which could include: ƒƒincreasing the retail price of private label milk ƒƒabsorbing any losses at the retail level into their own margins ƒƒrestructuring their supply chain in such a way that reduces costs, but maintains incentives for farmers to produce required volumes of raw milk. Contracting practices Contract arrangements in the dairy industry between processors and farmers are favourable to processors and exacerbate most farmers’ weak bargaining power. There appear to be few differences between the contracting options and terms offered by corporate processors and farmer-owned co-operatives. Certain contract terms and the complexity of contracts have limited the ability of farmers to switch between processors, and resulted in a lack of milk price transparency, and the uneven allocation of risk between processors and farmers. Contracts for the supply of raw milk may also contain some terms that are potentially unfair. The Unfair Contract Terms (UCT) legislation introduced by the Australian Government in 2016 provides protections for small businesses contracting with large businesses, and is likely to apply to some of these contracts. The ACCC is presently considering potential issues under the UCT arising from milk supply contracts for the 2017–18 season. Contract termination notice periods and automatic contract rollover clauses are problematic in most circumstances. Notice periods that require farmers to make supply decisions with limited or no access to price and/or other contract information may impact their choices and could also raise concerns under the UCT laws. Automatic rollover clauses may also raise concerns under UCT laws where they can be extended by significant periods of time. Although many milk supply agreements currently contain dispute resolution clauses, these often do not specify the process that is to be utilised to resolve disputes and therefore are rarely satisfactory. Given the significant imbalance in bargaining power between processors and farmers, the ACCC considers that the industry should develop a dispute resolution process that allows for mediation, arbitration or expert determination, where disputes cannot be resolved through negotiation. 
This inquiry has revealed that many farmers are not aware of the terms and conditions of their milk supply contracts or agreements with processors. While the ACCC has concerns with the transparency and fairness of terms, farmers should more actively analyse their supply agreements and obtain relevant legal or financial advice where appropriate, including from representative groups, given the large monetary value involved. That said, their limited bargaining power will ultimately reflect the terms they are offered.
Referring to  collective bargaining and boycotts the report states
Collective bargaining authorisation is a legal tool available to farmers seeking to act collectively to redress bargaining power imbalances. The ACCC considers that although collective bargaining has worked in some circumstances in the dairy industry, it is not a broad remedy to the issues arising from the bargaining power imbalances that exist in the dairy industry.
Processors mostly lack incentives to negotiate with, or enter into agreements with collective bargaining groups. They rarely achieve gains from engaging in collective negotiations and therefore commonly choose not to engage with CBGs.
Processors are often in a position to circumvent engagement with bargaining groups by offering standard form contracts for milk supply to farmers on a ‘take it or leave it’ basis. These contracts are generally favourable to processors. This is not to say that current collective bargaining groups are ineffective or that collective bargaining should be disregarded as an option in the future. The ACCC has examined the history of collective bargaining groups in the dairy sector and found examples that work well. However, some of these groups were formed in unique circumstances, and have features that typically do not apply to most groups. Collective boycott arrangements, if authorised by the ACCC, might improve the negotiating strength of collective bargaining groups and help overcome the shortcomings observed. However, due to the perishable nature of milk, the threat of a boycott may be less effective in bringing dairy processors to the negotiating table and reaching a negotiated outcome than is likely to be the case in other industries. The need for a mandatory code of conduct Market failure in the dairy industry results from the strong bargaining power imbalance between processors and dairy farmers, combined with the information asymmetry between them. These features result in contracting and industry practices that are weighted heavily in favour of processors and which make it difficult for farmers to make efficient investment decisions. Efficient investments are likely to be deterred if farmers do not have the certainty that they will be able to capture a sufficient share of the returns to make their investment profitable. In addition, the barriers to switching between processors that we have outlined above reduce the effectiveness of competition for raw milk, and suppress farmgate prices.
Australia’s competition and consumer laws are able to retrospectively address isolated instances of behaviour and conduct which harm competition and efficiency in the industry. These laws include the unfair contract terms laws and prohibitions on misleading and deceptive, and unconscionable, conduct. However, the problems we have identified in the dairy industry emanate from the broader and inherent bargaining power imbalance across the industry, particularly between processors and farmers. The resulting effects and risks to the industry are widespread, and cannot be effectively addressed through the particular provisions of the CCA. The recently developed Voluntary Dairy Code has led to some processors offering improved terms in milk supply contracts for the 2017–18 dairy season. However, the Voluntary Code is not enforceable and processors can choose not to participate or comply with the code at any time. The ACCC does not consider that the Voluntary Code will adequately address the structural bargaining power imbalance, and the associated contracting practices in the longer term. Further, a process for monitoring compliance with the Voluntary Code currently does not exist, and it is unlikely this code could be effectively enforced in the future.
The ACCC considers the issues identified and examined in this inquiry are of such magnitude as to warrant being addressed by a mandatory code of conduct for processors. It may be appropriate to exempt certain processors from the application of a mandatory code based on market share, revenue or other threshold to ensure that regulatory compliance costs are distributed appropriately relative to businesses’ capacity to manage these.
The ACCC makes several recommendations for improving interactions through the supply chain and supporting market conditions that facilitate efficient production and supply of dairy products -
1. Processors and farmers should acknowledge in writing the terms and conditions for milk supply.
This recommendation seeks to increase the clarity and transparency of the arrangements between processors and dairy farmers by ensuring that farmers are aware of, and acknowledge, the terms and conditions of their supply. This recommendation does not require the creation of any new or additional documents. Acknowledgement may simply take the form of signing or initialling a page in a Supplier Handbook, or sending a processor an email confirming that the contract has been accepted. Most importantly, contract variations that occur during a season or the duration of a contract should not be implemented until a farmer has acknowledged the contract variation in writing. For the avoidance of doubt, this recommendation does not suggest that parties be required to enter into contracts of fixed duration.   
2. Processors should simplify their contracts where possible, including by minimising the number of documents and clearly indicating which documents contain terms and conditions of milk supply. 
For example, in some cases the terms of a Supplier Handbook and a Milk Supply Agreement could be incorporated into a single document. This will provide benefits to processors and farmers, as contracts will be more transparent and easily understood. Clearer price signals can increase certainty and transparency in contracting practices and can improve efficiency in the market. The Australian Dairy Industry Council (ADIC) is in a position to work with processors to identify how contracts can be simplified and ensure this recommendation is implemented. 
3. Processors should provide all contractual documents simultaneously before the commencement of the dairy season or contract term.
Farmers should be provided with all the proposed terms and conditions of their contract—whether that be the Supplier Handbook, any Milk Supply Agreement and/or any other documents that contain terms and conditions—simultaneously and with a sufficient time to properly consider them before the season (or contract term) commences. This will increase transparency and ensure farmers have the necessary information to make supply decisions before they have committed to supply a particular processor. For clarity, this recommendation does not require Opening Price Letters to be provided at the same time as contract documents, but does require Opening Price Letters to be provided before the new contract is entered into and commences. 
4. Milk supply contracts should not include terms which unreasonably restrict farmers from switching between processors. 
Many milk supply agreements contain clauses which act as switching barriers. These include loyalty bonuses or other payments that are paid in respect of one dairy season but require ongoing supply into a new dairy season. This recommendation is currently reflected in the requirements of the Voluntary Code, but this code is not enforceable. 
5. The industry should establish a process whereby an independent body can mediate and arbitrate in relation to contractual disputes between farmers and processors. 
The ACCC recommends ADIC should be responsible for establishing the body, and as part of this process should consult closely with farmer representative groups to determine the scope and procedure of the dispute resolution process. The ACCC also recommends that processors include detailed dispute resolution clauses in farmer contracts that allow for binding determination or arbitration. For the avoidance of doubt, this dispute resolution process should govern disputes between farmers and processors, and between collective bargaining groups and processors. 
6. Farmers should ensure they have properly considered the legal and financial implications of their contracts with processors. 
The average value of a supply contract varies across farms and regions, but in 2015–16 was just under $700 000. The ACCC’s view is that contracts of such significant value should be carefully and actively considered by farmers before they are entered into. However, we understand that in general, many farmers do not seek professional legal or financial advice before entering into a contract, and many are not aware of the terms and conditions of their milk supply agreements that apply to them. Farmer representative groups are well placed to provide general guidance about how common contract terms operate and how these can impact farm income. Because of the significant impact contracts can have on farmers’ operations, farmer representative groups should prioritise facilitating farmers’ general understanding of the procedures and key aspects of supply contracts. This may involve procuring legal advice to assist with providing guidance to farmers at a generalised level. This may include assistance in interpreting contracts, identifying emerging contracting trends and directing farmers to specialist legal and financial advisers. Farmgate milk prices 
7. Processors should publish information identifying how their pricing offers apply to individual farm production characteristics to enable better farm income forecasts. 
Processors need to improve the transparency of their contract pricing terms. This could be achieved through an interactive online model which allows farmers to enter their own production characteristics and obtain a reliable estimate of the final income to be received. Processors should publish information identifying how their pricing offers apply to a standardised set of model farms, accounting for common differences in farm size, seasonality of production, whether production is growing or retracting and how penalties, such as those relating to quality requirements, impact on pricing offers. This will improve transparency of pricing, allow farmers to make better comparisons of processors’ milk supply terms and enhance competition. A mandatory industry code of conduct 
8. A mandatory code of conduct within the act should be established for the dairy industry. 
The ACCC recommends that a mandatory code of conduct to apply to processors be prescribed for the dairy industry. Our view is that the inherent bargaining power imbalance between processors and dairy farmers, combined with unequal availability of information between them (information asymmetry) results in market failure in the Australian dairy industry.
Contracting and industry practices are weighted heavily in favour of processors. This has led to inappropriate allocation of risk, increased potential for inefficient investment decisions by farmers and less effective competition between processors. A mandatory code should therefore be designed to improve transparency and certainty in contracts, set minimum standards of conduct and provide for dispute resolution processes. In particular, a mandatory code should contain obligations on processors to improve the timing and manner of processors’ communication of price and other key information, and increase farmers’ ability to switch in response to significant changes to their trading terms. We have reached this view having considered alternative remedies, including relying on the existing provisions and mechanisms of the CCA (including collective bargaining), and other types of industry codes of conduct, namely a voluntary code or prescribed voluntary code of conduct.
The ACCC notes it may be appropriate to exempt certain processors from the application of a mandatory code based on market share, revenues or another threshold to ensure that regulatory compliance costs are distributed appropriately relative to businesses’ capacity to manage these.

29 April 2018

Cosmetic Surgery Regulation

The NSW Health Department has released a report from the Review of the Regulation of Cosmetic Procedures.

The report features the following recommendations -
1. The Private Health Facilities Regulation is amended to create an offence for a medical practitioner to provide prescribed services and treatments in an unlicensed facility. 
2. The Ministry consult with stakeholders regarding whether any non-surgical cosmetic procedures should be required to take place in a licensed facility. 
3. The Ministry keep the definition of cosmetic surgery under consideration to ensure that it continues to remains appropriate. 
4. The Minister raise the issue of protecting the title “cosmetic surgeon” with the COAG Health Council. 
5. That additional regulation be imposed for extreme body modification procedures relating to informing clients about the risks of the procedure, the measures taken to mitigate the risks and preventing body modification procedures being undertaken on minors. 
6. The Minister write to NSW Fair Trading to raise consumer protection relating to cosmetic procedures. 
7. That a new subclass of S4 medicines used in non-surgical cosmetic procedures in the Act should be created. This would allow regulations to tailor rules relating to the storage, use and administration of the medicines, as well as requiring additional consumer protections. This subclass could also apply to other S4 medicines that are prone to misuse or supplied outside of normal medical models of care. 
8. That consultation occurs with stakeholders before the regulatory rules for the new subclass of S4 medicines are made. 
9. That the penalties for breaches of the Poisons and Therapeutic Goods Act and Regulation be increased.
It states
There are a large variety of cosmetic procedures that aim to alter or modify a person’s body or appearance and the procedures vary greatly in risk to patients or clients. High risk procedures include major cosmetic surgery and the use of certain scheduled medicines. On the other end of the scale, there are relatively low risk cosmetic surgery procedures (such as mole removal for a cosmetic purpose) and low risk procedures that do not involve the use of surgery or medicines, such as hair removal. There is a range of regulation affecting persons and premises carrying out cosmetic procedures. The review by the Ministry of Health has considered whether the current regulation of cosmetic procedures is appropriate to ensure the safety of patients/clients and makes a range of recommendations to improve the regulatory environment. However, the issue of the regulation of cosmetic procedures is likely to continue to remain an area of concern. As such, the Ministry will continue to monitor the issues, including implementation of the recommendations, and any other issues that arise following investigations that are currently underway, to determine if further action is necessary.
It goes on to discuss the regulation of cosmetic surgery and facilities
Cosmetic surgery ranges from minor cosmetic surgical procedures that are carried out in a medical practitioner’s rooms through to high risk procedures, such as breast augmentation, that must be carried out in licensed private health facilities.
Regulation of facilities
The Private Health Facilities Act 2007 and Regulation 2017 requires facilities that carry out certain procedures to be licensed and comply with a range of licensing standards. These standards are aimed at protecting patients and relate to the safety of the premises (such as complying with the relevant sections of the Building Code of Australia and Australasian Health Facility Guidelines) and clinical care and patient safety (such as engaging with the National Standards and Accreditation Scheme, having procedures for the transfer of patients who require higher levels of care, minimum staffing requirements and appropriate equipment). While the Private Health Facilities Act provides extensive regulation in respect of licensed facilities, it only applies to facilities that carry out procedures that fit within one of the classes of private health facilities.
One of the relevant classes is the surgical class. However, the surgical class only requires facilities to be licensed if the surgery is undertaken using general, epidural or major regional anaesthetic or sedation resulting in deeper than conscious sedation..1 The use of general or major regional anaesthesia can create significant risks to patients. These risks can be associated with airway management (in the case of general anaesthesia) and/or risks associated with the immobility of the patient. These risks can be appropriately mitigated by way of licensing requirements.
Facilities that perform surgical procedures using local anaesthesia or conscious sedation are not required to be licensed in the surgical class2 as they are generally considered to be of lower risk and the facility in which the procedures take place is not seen as requiring licensing as generally professional standards, such as relating to infection control, can mitigate the risk.
The Royal Australasian College of Surgeons (RACS), the Australian and New Zealand College of Anaesthetists (ANZCA) and the Australian Society of Plastic Surgeons (ASPS) recently released a position paper on Day Surgery in Australia. The Colleges recommend increased standards for day surgery clinics that use intravenous sedation or significant amounts of local anaesthesia in day surgery clinics.
The Ministry of Health has considered the position paper and considers that the current licensing requirements for facilities under the Private Health Facilities Act and Regulation are generally appropriate.
Licensing requirements for facilities are extensive and impose a regulatory burden on business. Licensing requirements should only be imposed if there is a health and safety risk that can only be appropriately mitigated by way of requiring facilities to be licensed. All procedures that involve the use of sedation or local anaesthesia will carry a risk to patients. However, in some cases that risk can be mitigated by way of professional responsibilities and competencies required by the individual practitioner. For example, some minor cosmetic surgical procedures, using conscious sedation or local anaesthesia, can be safely carried out by a medical practitioner in an unlicensed private health facility eg mole removal for a cosmetic purpose. If multiple moles were being removed, it would be expected that a medical practitioner would assess the patient and whether or not adequate local anaesthetic could be administered safely in an unlicensed facility. This consideration would, among other things, take into account the cumulative toxicity of the local anaesthetic administration required for the multiple mole removals. Failure to properly consider these issues could be grounds for taking disciplinary action against the practitioner.
However, the Ministry of Health also recognises that reliance on the level of anaesthesia and/or conscious sedation to determine licensing requirements will not always be a sufficient criterion for determining whether or not a facility should be licensed. This is particularly the case with cosmetic surgery where some procedures that carry high risks to patients can be carried out using local anaesthesia and/or conscious sedation.
As such, in 2016 the Private Health Facilities Regulation was amended to create a new class of private health facilities, being the cosmetic surgical class. Under the Regulation, certain cosmetic surgical procedures are required to be carried out in a licensed private health facility (or a public hospital). These surgical procedures are:
a) any cosmetic surgical procedure that is intended to alter or modify a person’s appearance or body and that involves anaesthesia (including a Biers Block), or 
b) any of the following surgical procedures (however described):
(i) abdominoplasty (tummy tuck), 
(ii) belt lipectomy, (iii) brachioplasty (armlift), 
(iv) breast augmentation or reduction, 
(v) buttock augmentation, reduction or lift, 
(vi) calf implants, 
(vii) facial implants that involve inserting an implant on the bone or surgical exposure to deep tissue, 
(viii) fat transfer that involves the transfer of more than 2.5 litres of lipoaspirate, 
(ix) liposuction that involves the removal of more than 2.5 litres of lipoaspirate, 
(x) mastopexy or mastopexy augmentation, 
(xi) necklift, (xii) pectoral implants, 
(xiii) penis augmentation, 
(xiv) rhinoplasty, 
(xv) superficial musculoaponeurotic system facelift (SMAS facelift), 
(xvi) vaginoplasty or labiaplasty, but does not include any dental procedure.
There are two categories of cosmetic procedures that are required to be conducted in licensed facilities:
cosmetic surgical procedures that use high levels of anaesthesia or more than conscious sedation; or
certain listed surgical procedures, regardless of the level of anaesthesia or sedation used.
Requiring certain listed procedures to be carried out in a licensed private health facility (or public hospital) recognises that there needs to be a broader consideration of risks of cosmetic surgery other than just the level of anaesthesia or sedation used.
The current list of procedures that are required to be carried out in a licensed private health facility was determined in 2016 following extensive consultation. Whether a cosmetic surgical procedure is required to be carried out in a licensed private health facility is based on the risks to the patient, being:
  • The risk of the procedure itself (such as the inherent risks of the procedure eg risk of significant blood loss or other complications, whether there are significant risks the patient may need to be transferred to a higher level of care facility and whether the type of procedure is likely to mean that a patient would be non-ambulatory if they needed to be evacuated during an emergency), and 
  • the risk that the procedure will require high levels of anesthesia or sedation such that there is a significant risk of the patient inadvertently becoming unconscious and/or significant risk of local anesthesia toxicity.
The listed procedures are considered to be appropriate. However, a listed procedure is only required to take place in a licensed facility if the procedure is a surgical procedure. The Ministry is aware that some of the listed procedures, such as breast augmentation and penis augmentation, can also be carried out non-surgically. Such non-surgical procedures generally involve the injection of fillers (such as collagen) or, in some cases, a transfer of fat from one part of the body to another. All procedures, whether surgical or not, carry risks. As noted above, licensing requirements should only be imposed if there is a health and safety risk that can only be appropriately mitigated by way of requiring facilities to be licensed. If the listed procedures are carried out non-surgically, the risks are different than if the procedures are carried out surgically. Non-surgical procedures do not generally carry a risk that the patient will be non-ambulatory and the risk of the patient becoming unconscious due to high levels of anaesthesia or sedation is lower. However, if there is an incorrect administration of the filler, then there are risks of drug toxicity. Further, if a local anaesthetic is injected along with a filler, there is a risk of toxicity from the local anaesthetic if excessive doses are used.
There are risks associated with the use of all drugs and requiring any procedure and requiring procedures to be conducted in a licensed private health facility should only occur where a licensing requirement is proportionate to the risk.
In the case of non-surgical procedures involving the use of drugs, would be expected that the risks would be mitigated by way of professional responsibilities and competencies required by the individual practitioner and the normal regulation in relation to the use of medicines. It is noted that product information for prescription-only fillers provide detailed warnings about incorrect administration which all practitioners would be expected to consider and that medicines regulation limits who can access drugs. Therefore at this stage no substantive changes to the Private Health Facilities Regulation are considered necessary. However, as detailed later in the report, the Ministry recommends that additional regulation should be put in place in respect of the use of medicines commonly involved in cosmetic procedures. As part of the consultation on the detail about the additional regulation of medicines used in cosmetic procedures, the Ministry will also consult with stakeholders as to whether any non-surgical cosmetic procedures should be required to take place in a licensed facility.
More generally, as the definition of cosmetic surgery in the Private Health Facilities Regulation relies on a list of specific procedures, and the types of procedures may change over time (or the risks of the procedures can change) the Ministry will keep the definition under review to ensure that the list remains appropriate and, if necessary, changes to the Regulation can be pursued.
It comments
The Poisons and Therapeutic Goods Act and Regulation places controls on the use, storage, administration, prescription and supply of poisons and scheduled medicines. The controls differ depending on the category of scheduled medicines. For example, Schedule 3 medicines are pharmacist only medicines, while Schedule 4 medicines can only be accessed with a prescription.
The Commonwealth also plays a role in regulating medicines, with the Therapeutic Goods Act 1989 (CTH) requiring that medicines to be registered on the Australian Register of Therapeutic Goods (ARTG) in order to be marketed and used in Australia. There are some exemptions which allow nonregistered medicines to be used with special authorisation or in other circumstances but these are not relevant to this review. The Commonwealth also places controls on the importation of medicines through regulations made under the Customs Act 1901 (CTH). Botulinum toxin and injectable hyaluronic acid dermal fillers are Schedule 4 (S4) medicines. The Act and Regulations currently provides that:
  • As a S4 medicine, botulinum toxin and injectable hyaluronic acid dermal fillers need to be prescribed by an authorised practitioner (medical practitioner, dentist), 
  • A wholesaler can only supply S4 medicines to an authorised practitioner or other person authorised to possess the medicine, 
  • Any person who is assisting in the care of a person can administer botulinum toxin and injectable hyaluronic acid dermal fillers to a patient, in accordance with the authorised practitioner’s prescription. Injectable Schedule 4 medicines are not distinguished from medicines ingested or applied topically. It is a matter of professional responsibility for the medical practitioner who prescribes the Schedule 4 medicine to ensure that the person who is to administer the medicine is able to competently do so, and 
  • S4 medicines must be stored in a room or enclosure to which the public does not have access.
Based on a number of investigations by the Pharmaceutical Regulatory Unit, the Ministry is concerned as to whether medical practitioners who prescribe these medicines used in cosmetic procedures, such as botulinum toxin and injectable hyaluronic acid dermal fillers, have appropriate oversight over the receipt, storage, access, use and administration of these medicines at cosmetic clinics. In addition there are also concerns that certain cosmetic clinics are in breach of the Act and Regulation by importing medicines from overseas, without going through licensed Australian wholesalers. v Accordingly, there is a need for stronger regulation of certain types of S4 medicines that are used in cosmetic procedures. Stronger regulation will better ensure that medical practitioners who prescribe these medicines have appropriate oversight over the receipt, storage, access, use and administration of these medicines at cosmetic clinics and that appropriate action can be taken against persons who breach the Poisons and Therapeutic Goods Act and Regulation.
In order to strengthen regulation of the use of S4 medicines that are being used in cosmetic procedures, it is proposed to create a new subclass of S4 medicines, with regulations tailoring the rules relating to the storage, use and administration of the medicines, as well as requiring additional consumer protections. It would be expected that the exact regulatory rules would be subject to consultation with stakeholders but could include matters such as:
  • Requiring that a medical practitioner or dentist who prescribes botulinum toxin and injectable hyaluronic acid dermal fillers must directly consult with the patient, 
  • Providing that botulinum toxin and injectable hyaluronic acid dermal fillers can only be accessed at premises when a medical practitioner is present during operating hours, and 
  • Placing limitations on who, such as a registered health practitioner, may administer the medicines in the course of providing a service.
The regulatory rules could also include matters relating more broadly to consumer protection, such as information given to patients. During consultation on the regulatory rules, consultation would occur with Fair Trading.
There are other types of S4 medicines that can be prone to misuse or supplied outside of normal medical models of care. Such medicines often provide for a lucrative business model, which can in turn fuel a black market. As such, similar concerns about inappropriate use arise and these medicines could be included in the new subclass. Examples of such medicines, include Sildenafil (Viagra), human growth hormone and injectable peptides (which can be used for performance improvement).
In addition, it is noted that the Poisons and Therapeutic Goods Act is 50 years old and the penalties applying to breaches of the Act and Regulation are not in keeping with the seriousness of the offences under the Act and Regulation. It is therefore recommended that the penalties in the Poisons and Therapeutic Goods Act be increased. It is noted that issues relating to penalties are being considered more broadly as part of the review of the Poisons and Therapeutic Goods Act.
The Ministry’s recent investigations have also uncovered concerns about the illegal importation of prescription medicines for use in cosmetic procedures the lack of appropriate labelling of hyaluronic acid dermal fillers product, which can contain lidocaine local anaesthetic. These are matters that concern the Commonwealth Therapeutic Goods Act. The Minister has already written to the Commonwealth Minister about these concerns. In addition, the Minister has already placed on the COAG Health Council agenda the issue of the use of medicines in cosmetic procedure so that other jurisdictions are aware of the issues.

27 April 2018

Hacking

'Is Tricking a Robot Hacking? ( University of Washington School of Law Research Paper No. 2018-05) by Ryan Calo, Ivan Evtimov, Earlence Fernandes, Tadayoshi Kohno and David O'Hair comments 
The term “hacking” has come to signify breaking into a computer system. A number of local, national, and international laws seek to hold hackers accountable for breaking into computer systems to steal information or disrupt their operation. Other laws and standards incentivize private firms to use best practices in securing computers against attack. 
A new set of techniques, aimed not at breaking into computers but at manipulating the increasingly intelligent machine learning models that control them, may force law and legal institutions to reevaluate the very nature of hacking. Three of the authors have shown, for example, that it is possible to use one’s knowledge of a system to fool a driverless car into perceiving a stop sign as a speed limit. Other techniques build secret blind spots into machine learning systems or seek to reconstruct the private data that went into their training. 
The unfolding renaissance in artificial intelligence (AI), coupled with an almost parallel discovery of its vulnerabilities, requires a reexamination of what it means to “hack,” i.e., to compromise a computer system. The stakes are significant. Unless legal and societal frameworks adjust, the consequences of misalignment between law and practice include inadequate coverage of crime, missing or skewed security incentives, and the prospect of chilling critical security research. This last one is particularly dangerous in light of the important role researchers can play in revealing the biases, safety limitations, and opportunities for mischief that the mainstreaming of artificial intelligence appears to present. 
The authors of this essay represent an interdisciplinary team of experts in machine learning, computer security, and law. Our aim is to introduce the law and policy community within and beyond academia to the ways adversarial machine learning (ML) alter the nature of hacking and with it the cybersecurity landscape. Using the Computer Fraud and Abuse Act of 1986 — the paradigmatic federal anti-hacking law — as a case study, we mean to evidence the burgeoning disconnect between law and technical practice. And we hope to explain what is at stake should we fail to address the uncertainty that flows from the prospect that hacking now includes tricking.

Cheating

'Contract cheating: a survey of Australian university students' by Tracey Bretag, Rowena Harper, Michael Burton, Cath Ellis, Philip Newton, Pearl Rozenberg, Sonia Saddiqui & Karen van Haeringen in (2018) Studies in Higher Education comments
Recent Australian media scandals suggest that university students are increasingly outsourcing their assessments to third parties – a behaviour known as ‘contract cheating’. This paper reports on findings from a large survey of students from eight Australian universities (n=14,086) which sought to explore students’ experiences with and attitudes towards contract cheating, and the contextual factors that may influence this behaviour. A spectrum of seven outsourcing behaviours were investigated, and three significant variables were found to be associated with contract cheating: dissatisfaction with the teaching and learning environment, a perception that there are ‘lots of opportunities to cheat’, and speaking a Language Other than English (LOTE) at home. To minimise contract cheating, our evidence suggests that universities need to support the development of teaching and learning environments which nurture strong student–teacher relationships, reduce opportunities to cheat through curriculum and assessment design, and address the well-recognised language and learning needs of LOTE students.
The authors write
In 2015, a series of higher education cheating scandals were reported by the Australian media (ABC Radio National 2015; Chung 2015; Visentin 2015a, 2015b). These reports suggested that there was a potentially large and unaddressed problem of Australian university students outsourcing their assessment to third parties – a behaviour known as ‘contract cheating’. The purported escalation in students’ use of online essay mills, file-sharing sites, and online contracting platforms sparked public and sector concerns, and led to direct involvement from Australian national regulator, the Tertiary Education Quality and Standards Agency (TEQSA), which asked the universities implicated to provide reports on their investigations and responses. Concerns about contract cheating can be situated within a broader context of global higher education disruption, one in which the social, political and economic role of universities is undergoing unprecedented change. The massification and internationalisation of higher education have led to larger and increasingly diverse student cohorts, often without corresponding growth in institutional funding. As a result, universities have progressively come to operate as commercial enterprises, with all operations – from student recruitment, retention and graduate outcomes, to research funding, outputs and university rankings – driven by competitive strategies. Job opportunities for graduates are increasingly uncertain, threatened by disruptive technologies and fluctuating job markets, which contributes to a rise in ‘credentialism’ (Brown 2001) and more transactional and disengaged approaches to learning. A booming ‘sharing economy’, which facilitates the exchange of goods and services via online platforms, allows individuals to outsource almost any task, large or small, creating a shift from ‘you are what you own’ to ‘you are what you can access’ (Richardson 2015). This context represents a ‘perfect storm’ in which contract cheating can perhaps be seen as an unsurprising symptom of an ecosystem under extreme stress. ... 
This paper reports on key findings from the survey of university students, which sought to answer the following four research questions:
(1) How prevalent is contract cheating in Australian universities? 
(2) Is there a relationship between cheating behaviours and sharing behaviours? 
(3) What are university students’ experiences with and attitudes towards contract cheating and other forms of outsourcing? 
(4) What are the individual, contextual and institutional factors that are correlated with contract cheating and other forms of outsourcing?
Findings are
Responses were obtained from 14,086 students, representing 4.38% of the total student population at the eight universities surveyed. Response rates to each question varied slightly throughout the survey, so for accuracy of reporting, findings include the response rate for each question. 
How prevalent is contract cheating in Australian universities? 
Table 1 shows the prevalence of the seven outsourcing behaviours among Australian university students. The two sharing behaviours were the most commonly reported. Buying, trading or selling notes was reported by 15.3% of respondents, while 27.2% reported providing completed assignments to other students. A total of 814 students (5.78% of all respondents) reported engaging in one or more of the five behaviours classified as ‘contract cheating’. The most common contract cheating behaviour was providing examination assistance (3.1%), although it should be noted that ‘exam assistance’ is a very broad term which may include a relatively minor breach such as assistance with a single question through to providing an examinee with extensive assistance to complete the whole exam. The least reported contract cheating behaviour was arranging for someone else to take an exam (0.2%). The responses from the 814 students who reported engaging in one or more of the five contract cheating behaviours were extracted so they could be analysed as a subset, and compared to the responses of the remaining students. This subset is referred to as the ‘Cheating Group’, while the remaining responses (from students who did not engage in these behaviours) are classified as belonging to the ‘Non-Cheating Group’. 
Is there a relationship between cheating behaviours and sharing behaviours? 
The sharing behaviours of the Cheating Group and the Non-Cheating Group were compared, as shown in Table 2. The overall pattern was that the Cheating group were more likely to engage in ‘sharing Is there a relationship between cheating behaviours and sharing behaviours? The sharing behaviours of the Cheating Group and the Non-Cheating Group were compared, as shown in Table 2. The overall pattern was that the Cheating group were more likely to engage in ‘sharing behaviours’ than the Non-Cheating Group, as indicated in the shaded cells. The Cheating Group was twice as likely as the Non-Cheating Group to buy, trade or sell notes. They were more likely than the Non-Cheating Group to use a file-sharing website for this purpose, and more than twice as likely to use a professional service for this purpose. The Cheating Group was also twice as likely as the Non-Cheating Group to provide others with a completed assignment. They were more likely than the Non-Cheating Group to provide it to some kind of professional service, and they were four times more likely to have been paid money for an assignment. For both the Cheating and the Non-Cheating Groups, completed assignments were more commonly shared than notes (almost two times more). 
What are university students’ experiences with contract cheating and other forms of outsourcing? 
As shown in Table 2, the most commonly reported cheating behaviour among the Cheating Group was providing exam assistance (53.2% of the Cheating Group), followed by receiving exam assistance (41%). The next most common cheating behaviour was obtaining a completed assignment to submit (37%). Of the 301 students who reported this behaviour, 68.5% reported going on to submit that work for assessment. Exam impersonation, either taking an exam for another or arranging for another to take an exam, was relatively uncommon, although still worthy of note, particularly in the case of taking an exam for someone else (7.9%). For each cheating behaviour, a majority of the Cheating Group reported engaging in the behaviour 1–2 times (from 58% to 81.7%). A small proportion reported frequently engaging (10 or more times) in the contract cheating behaviours (from 2.9% to 9.4%). For the most commonly reported cheating behaviour (providing exam assistance), 42% of students reported engaging in this behaviour three or more times. Students were asked to identify who had provided the assistance for each of the outsourcing behaviours, choosing from a range of options and selecting all that applied. For both of the sharing behaviours, the Cheating and Non-Cheating Groups reported sharing most often with a student or former student, or a friend or family member. When buying, selling or trading notes, both groups are more likely to share with a website or professional service than a partner or girl/boyfriend. This is reversed for providing a completed assignment, with students more likely to report providing to a partner or girl/boyfriend than a website or professional service. For each cheating behaviour, a majority of the Cheating Group reported engaging in unauthorised assistance with current/former students (from 40% to 78.9%), and friends or family members (from 51.2% to 71.6%). A small proportion of the Cheating Group reporting using/providing a professional service. Professional services were most commonly used by students who arranged for someone to take their exam for them (18.8% of that group), and by students obtaining a completed assignment for the purpose of submitting it as their own (10.4% of that group). Students reported the exchange of money in a relatively small number of cases across the five cheating behaviours (from 2.8% to 16.7%), with payment most common in cases where students took an exam for someone else. 
What are students’ attitudes towards contract cheating and other forms of outsourcing? 
Students were asked to report their levels of agreement on a 5 point Likert scale regarding the ‘wrongness’ of the seven behaviours investigated. Figure 2 shows that the Non-Cheating Group reported higher levels of agreement than the Cheating Group on all behaviours. The largest difference was in relation to providing assistance in an exam (98.3% vs. 70.6% agreement, respectively), and the smallest difference was in relation to arranging for someone to take an exam (98.3% vs. 94.6% agreement, respectively). Although most Non-Cheating and Cheating students agreed that providing an assignment (for any reason) was ‘wrong’, both groups agreed much less strongly that buying, selling or trading notes is ‘wrong’. We then compared the attitudes of Language Other than English (LOTE)/English-speaking Cheating Group students and International/Domestic Cheating Group students. As shown in Figure 3, LOTE and English-speaking students reported comparable attitudes on six of the seven behaviours, with the only exception being buying, selling or trading notes, where 6.9% more LOTE students agreed that this behaviour was wrong. As shown in Figure 4, International and Domestic students reported comparable attitudes on six of the seven behaviours, with the only exception being buying, selling or trading notes, where 8.1% more International students agreed that this behaviour was wrong. 
What are the individual, contextual and institutional factors that are correlated with contract cheating and other forms of outsourcing? 
Table 3 shows a preliminary demographic ‘profile’ of the Cheating Group. It compares key descriptive statistics of the Cheating Group with all survey respondents to signal an over- or under-representation of certain variables in the Cheating Group. Males are over-represented in the Cheating Group by a ratio of 1:1.3; LOTE students are over-represented by a ratio of 1:1.9; International students are over-represented by a ratio of 1:2.1, and Engineering students are over-represented by a ratio of 1:1.8. In contrast, students who study externally (online only) are under-represented in the Cheating Group by a ratio of 1:0.46.  The Cheating and Non-Cheating Groups were also compared for their perceptions of the teaching and learning environment, as shown in Figure 5. Students were asked to report their levels of agreement on a 5 point Likert scale regarding the following 10 items:
  • I have opportunities to approach my lecturers and tutors for assistance when needed 
  • My lecturers and tutors ensure that I understand what is required in assignments
  • There are lots of opportunities to cheat in my subjects 
  • My lecturers and tutors have explained my institution’s academic integrity policy, and the consequences for breaching it 
  • My lecturers and tutors spend class time teaching me how to reference (including how to quote, paraphrase and summarise with acknowledgement). 
  • My lecturers and tutors spend class time talking about ‘contract cheating’ and its consequences. 
  • My lecturers and tutors spend class time teaching me how to engage in scholarship in my discipline (i.e. research, read, critically analyse and discuss discipline material). 
  • My lecturers and tutors consistently monitor and penalise academic integrity breaches in line with my institution’s policy. 
  • My lecturers and tutors are consistent with each other in grading assignments. 
  • I receive sufficient feedback to ensure that I learn from the work I do.
Figure 5 shows the responses to these items, with items where the Cheating Group indicated the lowest levels of agreement relative to the Non-Cheating Group shown first. As shown in Figure 5, in descending order of difference, the Cheating Group reported markedly lower levels of agreement than the Non-Cheating Group on four items: understanding assignment requirements (item 2), receiving sufficient feedback (item 10), opportunities to approach educators (item 1), and the teaching of scholarly practice (item 7). Both groups reported comparable levels of agreement (approximately 5% difference or less) on 5 of the 10 items – explaining academic integrity policy, monitoring and penalising breaches, teaching referencing, consistent grading and explaining contract cheating. Both groups of students indicated the lowest levels of agreement that educators explain contract cheating. The Cheating Group reported higher levels of agreement on only two items: educators explain contract cheating (item 6), and lots of opportunities to cheat (item 3). An issue with the analysis of individual effects is that it cannot control for other underlying variables (i.e. the number of LOTE students varies significantly between disciplines). A multivariate analysis was therefore undertaken to examine the extent to which the demographic variables and perceptions of the teaching and learning environment influenced outsourcing behaviours, including the sharing behaviours not captured by preliminary analyses of the Cheating and Non-Cheating Groups. The multivariate analysis is reported in Appendix 1, with the dependent variable for each behaviour being whether the student admitted doing the behaviour (1) or not (0), and employing a random effects logit model. ... 
Of the seven outsourcing behaviours, sharing and cheating behaviours were each influenced by different variables. Although Engineering students were over-represented in the Cheating Group by a ratio of 1:1.8, the multivariate analysis (see Appendix 1) indicated no discipline effects on cheating behaviours. Rather, cheating behaviours were primarily explained by students’ International or LOTE status, higher levels of dissatisfaction with the teaching and learning environment, and perceptions that there are lots of opportunities to cheat. 
Findings for each behaviour outlined in Appendix 1 are detailed below. For the 15.3% of students who engaged in buying, selling or trading notes, the following groups of students were more likely to engage in that behaviour: students enrolled at a Group of Eight university,  younger students, students who had been enrolled longer at university, students in Commerce and Law, and students who reported higher levels of dissatisfaction with the teaching and learning environment. For the 27.2% of students who reported providing a completed assignment, the following groups of students were more likely to engage in that behaviour: younger students, students who had been enrolled longer at university, students who were working either part or full-time, students in Engineering, Education, Commerce and Health Sciences, and students who identified lots of opportunities to cheat in their subjects. For the 2.2% of students who obtained a completed assignment to submit as their own, the following groups of students were more likely to engage in that behaviour: males, students who reported higher levels of dissatisfaction with the teaching and learning environment, and students who identified lots of opportunities to cheat in their subjects. For the 3.1% of students who provided exam assistance, no demographic descriptors had a significant effect on that behaviour. However for the 2.4% who reported receiving exam assistance, the following groups of students were more likely to engage in that behaviour: LOTE students and those students who identified lots of opportunities to cheat in their subjects. For the 0.5% of students who reporting taking an exam for another, the following groups of students were more likely to engage in that behaviour: International students, students who reported higher levels of dissatisfaction with the teaching and learning environment, and students who identified lots of opportunities to cheat in their subjects. For the 0.2% of students who reported arranging for another person to take an exam for them, the following groups of students were more likely to engage in that behaviour: LOTE students, international students, students who reported higher levels of dissatisfaction with the teaching and learning environment, and students who identified lots of opportunities to cheat in their subjects. ... 
Despite the widespread availability of file-sharing websites and commercial services that support cheating, students still primarily engage in outsourcing behaviours with people they know: other students, friends and family. Students reported using professional services relatively rarely, and more commonly in cases of exam impersonation than for other cheating behaviours. Money was also exchanged infrequently, most commonly in relation to ‘taking an exam for someone else’. Perhaps this explains why cheating rates were not higher among fully online, external students; although their relative anonymity and remoteness spark concerns they could more easily get away with cheating, their disconnection from typical, campus-based networks of peers limits their access to the most commonly used sources of outsourced material. Although contract cheating rates remain relatively low, sharing academic work is a common part of the learning experience for many Australian students. Moreover, students more frequently provide others with completed assignments than they do with notes. It remains unclear whether students are altruistically providing their completed assignments to others in order to assist with their learning, to serve as a ‘model’ for comparison, or recklessly providing their work to other students, knowing full well that the assignment will be submitted by that student as their own work. The survey did not ask students to specify, and so did not classify this behaviour as cheating for the purpose of this analysis. It is reasonable to assume, however, that some of the students who have provided others with a completed assignment did so knowing that the student would misuse it in some way, and so engaged in a behaviour that would likely be considered cheating at their institution. While this question certainly warrants further investigation, the fact that such a large proportion of students are engaging in this behaviour, as well as buying, selling and trading notes is indicative of a ‘sharing economy’ in which everyday tasks are routinely shared or outsourced .... 
Furthermore, our data also indicated a possible relationship between these ‘sharing’ behaviours and more egregious forms of cheating. The Cheating Group were twice as likely as the Non-Cheating Group to engage in both of these sharing behaviours, more likely to use a file-sharing website or professional service to do so, and more likely to exchange money in the process. This evidence indicates the possible adoption of more instrumental, transactional approaches to learning among the Cheating Group. It is unclear whether one behaviour precedes the other. For example, perhaps students begin with sharing notes, prompting disengagement from components of the learning process, which in turn starts them on a ‘slippery slope’ towards disengagement from other aspects of learning, including the completion of assessment. Or it may be that students in the Cheating Group are more generally disengaged, and therefore more likely to outsource all aspects of their learning, including note-taking. Perhaps the most important contribution of this study is the identification of particular individual, contextual and institutional variables that influence outsourcing behaviours. Despite a significant amount of academic integrity research, variables relating to cheating behaviour have typically been examined in isolation, thereby risking the conflation of measured variables with other underlying factors. Much of the research has previously concluded that males are more likely than females to cheat ... Studies have also pointed to higher cheating rates among particular student cohorts, including International students ..., Business students ... and Engineering students .... 
The preliminary analysis of the descriptive statistics did indicate an over-representation in the Cheating group of students from certain groups: specifically, males, International students, Engineering students and students from more ‘elite’ Group of Eight universities. However, in the multivariate analysis (Appendix 1) many of these seemingly significant variables fell away due to their conflation with the key contributing variables. Contract cheating was primarily influenced by dissatisfaction with the teaching and learning environment, and perceptions that there were lots of opportunities to cheat in subjects, with the teaching and learning environment having the strongest effect (odds ratios ranging from 1.27 to 1.63, with opportunities to cheat ranging from 0.6 to 0.85). For two of the cheating behaviours (receiving exam assistance and arranging for another to take an exam), the LOTE variable also had a particularly strong effect (odds ratios of 4.41 and 2.10). ... 
For the two exam impersonation behaviours, when compared to international students, domestic students had much-reduced probabilities of undertaking this behaviour (OR of 0.41 and 0.33). The perception among the Cheating Group that there are ‘lots of opportunities to cheat’ could be interpreted in a range of ways. One hypothesis is that students who are engaging in cheating are looking for opportunities to cheat, and so see opportunities where more engaged learners do not. Or it may be that some students are exposed to opportunities (such as sharing work with peers) that other students are not. It appears, then, that while the Engineering discipline contains around one-quarter of all the students in the Cheating group, it is not Engineering per se that influences cheating behaviour. It is rather that students who are LOTE, and/or particularly dissatisfied with the teaching and learning environment, and perceive there to be ‘lots of opportunities to cheat’ are concentrated within the discipline of Engineering. Most studies have previously concluded that international students are particularly vulnerable to engaging in breaches of academic integrity. .... Our findings, while not disputing the critical role of students’ previous educational and learning experiences, contradict the simplistic view that International students cheat more due to culturally based values and attitudes towards cheating. This research suggests that the categories of LOTE and International should not be conflated. Although LOTE and International status both increase the probability of having others take an exam, this is the only overlap of influence: LOTE increases the probability of receiving exam assistance, while International status increases the probability of taking an exam for others. Nor did the cultural and linguistic diversity of our sample lead to a diversity of attitudes towards outsourcing behaviours... The only difference here was that both International and LOTE students were more likely to report that buying, selling or trading notes are ‘wrong’, which perhaps indicates that among these groups, there is greater confusion and a tendency to err on the side of caution with regard to the boundaries between acceptable and unacceptable academic practice. It appears to be the case, then, that both Domestic and LOTE students may engage in cheating behaviours despite thinking that they are wrong, not because they believe these practices are acceptable. Understanding what leads students to cheat requires the examination of a range of complex, and overlapping factors, but ‘culture’ alone does not explain the phenomenon. The sharing behaviours were influenced by a variety of variables, but for both, younger students were more likely to be involved. This perhaps indicates that engagement in a ‘sharing economy’ is to some extent related to generational factors. The sharing behaviours were also more prevalent in certain discipline areas, indicating the presence of certain discipline-based cultures of sharing, collaboration and possibly collusion. ... Although Group of Eight students were more likely to engage in buying, selling and trading notes, they were no more or less likely to engage in other outsourcing behaviours. This finding is at odds with a prevailing assumption that contract cheating is more likely to occur in higher education providers of ‘lower quality’. .
They conclude
 In the context of widespread concerns about the proliferation of online file-sharing sites and commercial assignment writing services, this large-scale study of Australian students sought to investigate the prevalence and nature of contract cheating and other outsourcing behaviours, and understand the individual, contextual and institutional factors that may influence these behaviours. Contract cheating behaviours were primarily influenced by high levels of dissatisfaction with the teaching and learning environment, perceptions that there are lots of opportunities to cheat in subjects, and students’ LOTE status. Sharing behaviours were influenced by a range of variables, but particularly age (students 25 and younger), and discipline of study. 
It is of particular concern that LOTE students continue to be over-represented in cheating surveys, and that despite two decades of research which has pointed to the need to direct resources toward more systematic approaches to students’ language and learning development, little progress appears to have been made . The long-held myth that International students have different, culturally based attitudes towards cheating has perhaps contributed to the general failure of universities to take responsibility for this issue. Our findings contribute to debunking that myth. Perhaps more important is the finding that outsourcing behaviours – including serious forms of cheating – are more commonly influenced by dissatisfaction with the teaching and learning environment, and a perception that there are lots of opportunities to cheat in subjects. This places responsibility squarely with universities, and should prompt serious considerations of approaches to curriculum and assessment design. We concur with other researchers ... that simplistic remedies, such as a return to high-stakes, invigilated examinations, are likely to be counter-productive in addressing a problem as complex as contract cheating. If indeed contract cheating is symptomatic of a ‘perfect storm’ of global and local factors, it demands a multi-pronged and holistic approach. Teaching and learning environments that focus on developing strong student–teacher relationships should be a key component of any institutional approach. Such environments reduce opportunities for students to cheat, because educators are more familiar with each student’s capabilities. They also allow for the early identification of students who may be vulnerable to cheating. As a starting point, we recommend that universities focus on two aspects of the teaching and learning environment where students who have engaged in cheating report a markedly more negative experience than other students: ensuring that students understand what is required in assignments, and that they receive sufficient feedback to learn from that work. 
It is also important that universities respond to the ways in which the ‘sharing economy’ is shaping students’ approaches to life and learning. Curriculum and pedagogy could better reflect the realities of working in a highly connected and networked world, in which sharing and collaboration are an increasing part of professional practice. Educators need to support students in learning to navigate this world, both as learners who must demonstrate their own individual capabilities through assessment, and as emerging professionals who need to learn to work ethically.

Metes

'The Forgotten History of Metes and Bounds' by Maureen (Molly) Brady  in Yale Law Journal (forthcoming) comments 
Since the settling of the American colonies, property boundaries have been described by the “metes and bounds” method, which is a highly customized system dependent on localized knowledge of movable stones, impermanent trees, and transient neighbors. The metes and bounds system has long been the subject of ridicule, and a recent wave of law-and-economics scholarship has argued that land must be easily standardized to facilitate market transactions and yield economic development. However, historians have not yet explored the social and legal context surrounding the metes and bounds system—obscuring the important role that highly customized property played in stimulating growth. 
Using new archival research from the American colonial period, this Article reconstructs the forgotten history of metes and bounds within recording practice. Importantly, the benefits of metes and bounds were greater—and the associated costs lower—than ahistorical examination of these records would indicate. The rich descriptions of the metes and bounds system transmitted valuable information to American settlers and could be tailored to different types of property interests, permitting simple compliance with recording laws. While standardization is critical for enabling property to be understood by a larger and more distant set of buyers and creditors, customized property practices built upon localized knowledge serve other important social functions that likewise encourage development.

Difference

'Buggery and Parliament, 1533-2017' by Paul Johnson comments 
Over nearly five centuries the UK Parliament, and its earlier incarnations, frequently legislated to ensure the regulation and punishment of buggery, a form of sexual conduct once generally accepted to constitute one of the most serious criminal offences known to law. In the early twenty-first century, Parliament abolished the offence of buggery and, subsequently, granted pardons to certain individuals previously convicted of it. Whilst some aspects of the history of Parliament’s approach to buggery are well known – particularly in respect of homosexual law reform – much of this history remains obscure. This article provides an in-depth consideration of the making of statute law in Parliament relating to buggery that reveals the dramatically changing attitudes of legislators towards this aspect of sexual conduct and highlights the significance and importance of the pardons granted to those convicted of the offence.
Johnson provides a cogent discussion of disregards and pardons, before going on to conclude that
Whilst the criminal offence of buggery has been abolished in English and Northern Irish law references to buggery continue to endure in a range of statutes which, for example, make provision for granting anonymity to people who allege they are victims of the offence, ensure the continuity of sexual offences law in respect of criminal justice proceedings, and regulate what information a person must provide when making an application for a licence to provide gambling facilities. Buggery also forms one of the offences for which a person can become subject to the notification requirements of the ‘sex offenders register’. In due course, when those who were victims of buggery and those who committed the offence are deceased, all of these statutory provisions will become superfluous and, along with the legislation making provision for the disregarding of offences, will likely be repealed. At such time, the only references to buggery that will endure in UK statute law will be in the legislation that provides pardons for past offences (which, as discussed above, will hopefully be expanded in the future in respect of armed forces personnel). Buggery will not, however, disappear from parliamentary debate but will continue to be discussed in relation to those jurisdictions to which Britain ‘exported’ the offence and where it, or some version of it, continues to endure in criminal law. A concern with buggery will remain an inherent aspect of the ‘common enterprise’ that has recently developed amongst legislators committed to challenging and abolishing ‘oppressive discriminatory laws’ affecting LGBT people around the world in Commonwealth nations, as well as in the Crown Dependencies and British Overseas Territories.

Obscurity

The Chance 'to Melt into the Shadows of Obscurity': Developing a Right to Be Forgotten in the United States' by Patrick O'Callaghan in A. Cudd and M. Navin (eds) Privacy: Core Concepts and Contemporary Issues (Springer, 2018) comments 
This chapter argues that there is some (limited) evidence of a right to be forgotten in the jurisprudence of U.S. courts. For the purposes of this argument, the right exists whenever interests in being forgotten and/or forgetting are understood as weighty enough to impose a duty on government and/or fellow citizens to respect those interests. Most of the relevant cases belong to the pre-digital era but nevertheless provide some doctrinal support for a right to be forgotten in the digital era. In particular, the chapter pays close attention to the privacy challenges associated with search engines and argues that it may be possible to implement a Google Spain-inspired right to be forgotten (in the sense of delisting or deindexing search results) in the United States.