Bibliographic record
Abstract
Introduction Advances in technology and the outbreak of the COVID-19 virus in 2020 have significantly changed the way people work. The internet and applications (‘apps’) on smart devices (such as phones and tablets) now allow people to freelance directly with clients in what has been described as the ‘gig economy’. People now have access to food delivery apps such as Menulog and Deliveroo as well as ride-hailing apps such as Uber, and these are now used as part of the normal lives of many people. COVID-19 has also substantially disrupted the way many people work. In an effort to contain the outbreak of the virus, a number of governments imposed lockdowns which resulted with employees making a mass migration from working in offices to working from home. Even after lockdowns were lifted, this trend towards homeworking and remote working appears to remain popular and many employees now engage in hybrid working (which involves splitting the working week between the office and the home or another remote location). The rise of the gig economy and the post-pandemic shift to remote working, whilst giving convenience to many, also, for reasons that will be explained in this chapter, disadvantages certain workers and makes other groups of workers vulnerable to exploitation. This chapter will focus on examining both of these developments, to expose how they create risks of discrimination based on class and/or factors reflective of social background. Part I will examine platform work in the gig economy, to highlight how digital technology is used to fuel the exploitation and underpayment of certain socially and economically vulnerable migrant workers. This part of the chapter will then apply the recent decision of the Quebec Court of Appeal in Bécancour to illuminate how the Quebec Charter's prohibition on ‘social condition’ discrimination may have particular applications in underpayment and wage theft cases. It will also compare this with the legal framework in Australia to show that whilst the decision in Foot & Thai Massage highlights the potential of the FW Act's prohibition on adverse action based on ‘social origin’ to have similar applications, the law in Australia needs reform before it may be able to achieve this. Part II will examine the post-pandemic shift to remote working and homeworking, to show how it has potential to disadvantage workers at the convergence of class, social background, and other attributes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".