Keeping U.S. Courts Open to Foreign Antitrust Plaintiffs: A Hybrid Approach to the Effective Deterrence of International Cartels
Bibliographic record
Abstract
The global vitamins cartel was "the most pervasive and harmful criminal antitrust conspiracy ever uncovered." From 1990 to 1999, multinational firms based in Canada, Germany, Japan, Switzerland, and the United States colluded to fix prices, rig bids, and allocate global market shares in their sale of vitamin products. These products are critical for human and animal nutrition and affect more than $5 billion of global commerce. Reflecting the scope of the crime, the antitrust penalties imposed in the United States were staggering. Members of the cartel paid nearly $1 billion in fines. Hoffman- LaRoche, the cartel's leader, paid a $500 million fine, the largest criminal fine ever collected by the United States. Six of the main conspirators settled a private class action lawsuit by domestic purchasers of vitamin products for $1.05 billion, "the largest private anti-trust price-fixing settlement in history. Individual corporate executives were sentenced to prison in the United States. Other jurisdictions-including Europe, Canada, Japan, and Australia-levied both criminal and civil penalties against the conspirators.
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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 | 0.025 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.014 | 0.018 |
| Scholarly communication | 0.027 | 0.014 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.029 | 0.017 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".