Book Review: The Corporate Criminal: Why Corporations Must Be Abolished by Steve Tombs and David Whyte
Bibliographic record
Abstract
WHYTE provide an excellent indictment of the harms caused by corporate crime and call for the abolition of corporations.I will focus on three aspects of their argument: (1) Corporations are "a gross manipulation of the free market;" 3 (2) the state is "bystander, facilitator and even conspirator in corporate crime;" 4 and (3) borrowing from Frank Pearce (to whom the book is dedicated), corporations are a "form of structural irresponsibility." 5 This review then turns to some of the solutions proposed by the authors.Corporations, governments, and the media often describe the corporation as the best means of distributing goods and services, and balancing economic progress with the demands of social welfare.However, proliferating oligopolies in all areas of production and distribution illustrate that corporations are "a gross manipulation of the free market."6 According to the authors, mergers assist corporations in raising prices; if there are any efficiencies, they are not passed on to consumers.Claims of efficiency also ignore the fact that corporations are,
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.043 | 0.024 |
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".