Nouvelle donne législative et causes de la criminalité « corporative »
Bibliographic record
Abstract
This paper examines the ideological and political collapse of laws regulating corporate crime in North America. In an era where social control and criminalization are steadily increasing, corporate crime has been normalized, shorn of its negative, criminal implications, de-regulated in law. The paper asks why this has happened, looking first at the century-long battle waged by labour and other counter-hegemonic groups to censure and control the antisocial acts of corporations through the passage of criminal legislation. Second, it examines the role criminology as a discipline played in this process, and the subsequent replacement of criminological discourse and influence by the newly-ascendent law and economics movement, which has provided the much of the academic support for de-regulation. Both developments, it is argued, are linked to changes in global capitalism and the weakened nation-state. Finally, the paper argues that the removal of regulation through criminal or administrative law, and of its accompanying rhetorics of denunciation, has grave consequences for social policy. The structural and ideological forces of global capitalism that have normalized corporate crime have also provided ideal conditions for increases in its incidence and impact.
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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 | 0.008 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".