Liability Risk for Outside Directors: a Cross‐Border Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Much has been said recently about the risky legal environment in which outside directors of public companies operate, especially in the USA, but increasingly elsewhere as well. Our research on outside director liability suggests, however, that directors’ fears are largely unjustified. We examine the law and lawsuit outcomes in four common law countries (Australia, Canada, Britain, and the USA) and three civil law countries (France, Germany, and Japan). The legal terrain and the risk of ‘nominal liability’(a court finds liability or the defendants agree to a settlement) differ greatly depending on the jurisdiction. But nominal liability rarely turns into ‘out‐of‐pocket liability,’ in which the directors pay personally damages or legal fees. Instead, damages and legal fees are paid by the company, directors’ and officers’(D&O) insurance, or both. The bottom line: outside directors of public companies face a very low risk of out‐of‐pocket liability. We sketch the political and market forces that produce functional convergence in outcomes across countries, despite large differences in law, and suggest reasons to think that this outcome might reflect sensible policy .
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it