Criminalising cartels : critical studies of an international regulatory movement
Bibliographic record
Abstract
PART A INTRODUCTION 1. Criminalising Cartels: Why Critical Studies? Caron Beaton-Wells and Ariel Ezrachi PART B THE US EXPERIENCE WITH CRIMINAL CARTEL ENFORCEMENT 2. Punishment for Cartel Participants in the United States: A Special Model? Donald I Baker PART C EXPERIENCES OUTSIDE THE US WITH CRIMINAL CARTEL ENFORCEMENT 3. Redesigning a Criminal Cartel Regime: The Canadian Conversion D Martin Low and Casey Halladay 4. Competition Offences in Ireland: The Regime and Its Results Patrick Massey and John D Cooke 5. DOA: Can the UK Cartel Offence Be Resuscitated? Julian Joshua 6. What if All Bid Riggers Went to Prison and Nobody Noticed? Criminal Antitrust Law Enforcement in Germany Florian Wagner-von Papp 7. Cartel Criminalisation and the Australian Competition and Consumer Commission: Opportunities and Challenges Caron Beaton-Wells PART D EU PERSPECTIVES ON CARTEL CRIMINALISATION 8. Criminalising Cartels in the European Union: Is There a Case for Harmonisation? Ingeborg Simonsson 9. Criminal Cartel Enforcement in the European Union: Avoiding a Human Rights Trade-Off Peter Whelan PART E TESTING ORTHODOX ASSUMPTIONS UNDERPINNING CARTEL CRIMINALISATION 10. Criminal Cartel Sanctions and Compliance: The Gap between Rhetoric and Reality Christine Parker 11. Am I a Price Fixer? A Behavioural Economics Analysis of Cartels Maurice E Stucke 12. Cartels in the Criminal Law Landscape Rebecca Williams 13. Cartel Offences and Non-Monetary Punishment: The Punitive Injunction as a Sanction against Corporations Brent Fisse PART F EXPLORING THE POLITICAL ECONOMY OF CARTEL CRIMINALISATION 14. Cartel Criminalisation as Juridification: Political and Regulatory Dangers Stephen Wilks 15. The Anti-Cartel Enforcement Industry: Criminological Perspectives on Cartel Criminalisation Christopher Harding 16. 'The Battle for Hearts and Minds': The Role of the Media in Treating Cartels as Criminal Andreas Stephan PART G FUTURE CHALLENGES FACING CARTEL CRIMINALISATION ON AN INTERNATIONAL SCALE 17. International Cartels, Concurrent Criminal Prosecutions and Extradition: Law, Practice and Policy Michael O'Kane 18. Cartels as Criminal? The Long Road from Unilateral Enforcement to International Consensus Ariel Ezrachi and Jioi Kindl
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.023 | 0.081 |
| Scholarly communication | 0.024 | 0.021 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.014 | 0.013 |
| Insufficient payload (model declined to judge) | 0.011 | 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".