Restorative Regulation of Criminality at Work in Canada: Workplace Safety, Penal Law, and Human Capability Enhancement
Bibliographic record
Abstract
From the Master and Servant legislation to the Factories Acts of the 19th century, the criminal law has always had a vital yet normatively complex role in the regulation of work relations. Even in its earliest forms, it operated both as a tool to repress collective organizations and enforce labour discipline, while policing the worst excesses of industrial capitalism. Recently, governments have begun to rediscover criminal law as a regulatory tool in a diverse set of areas related to labour law: 'modern slavery', penalizing irregular migrants, licensing regimes for labour market intermediaries, wage theft, supporting the enforcement of general labour standards, new forms of hybrid preventive orders, harassment at work, and industrial protest.This volume explores the political and regulatory dimensions of the new 'criminality at work' from a wide range of disciplinary perspectives, including labour law, immigration law, and health and safety regulations. The volume provides an overview of the regulatory terrain of 'criminality at work', exploring whether these different regulatory interventions represent politically legitimate uses of the criminal law. The book also examines whether these recent interventions constitute a new pattern of criminalization that operates in preventive mode and is based upon character and risk-based forms of culpability. The volume concludes by reflecting upon the general themes of 'criminality at work' comparatively, from Australian, Canadian, and US perspectives.Criminality at Work is a timely, rich and ambitious piece of scholarship that examines the many intersections between criminal law and work relations from a historical and contemporary vantage-point.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.023 | 0.009 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".