Obscuring Corporate Violence: Corporate Manslaughter in Action
Bibliographic record
Abstract
Abstract In April 2008, the Corporate Manslaughter and Corporate Homicide Act 2007 (CMCHAct) came into force in the UK. Since then, the Act has failed to live up to expectations, resulting in only 26 convictions in the first decade of its existence, despite thousands of work‐related fatalities during this time. This article critically analyses these CMCHAct prosecutions in order to chronicle the problems of the law in action and to demonstrate how the Act serves to downplay the seriousness of corporate killing. In so doing, we approach law as an ‘active discourse’ that is mutually constitutive of the broader social formation, so that it both creates, but is also a product of, the capitalist social order. Thus we explore the extent to which the CMCHAct ultimately privileges dominant beliefs that corporate killing is not ‘true’ crime and that corporate capitalism is an inherent good that must be defended, not disrupted.
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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 | 0.000 | 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) | 0.000 | 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 teacher head, 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".