Financial Misconduct, Settlement Penalties and Corporate Governance Accountability
Bibliographic record
Abstract
Recently, JPMorgan Chase paid over $20 billion in settlement penalties, including $1.7 billion for violating the United States' Bank Secrecy Act, 1970 (BSA; "the Act") which required the corporation to report suspicious financial activity related to Bernard L. Madoff -a man who orchestrated the largest Ponzi scheme in history.Key study questions: (1) Is JP Morgan Chase legally responsible through common law principles of duty of care, in the larger framework of negligence?(2) Is the duty of care contained in the BSA?(3) If duties requiring banks to alert authorities of suspicious activity are breached through governing statute, does the Act impose personal liability for executives?Do shareholders have adequate means for redress or are they "helpless victims"?METHODOLOGY Examination of Misconduct Reports Examination of Corporate Disclosures & Deferred Prosecution Agreement Analysis of Relevant Jurisprudence International
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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 | 0.012 | 0.078 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".