Lawyer <scp>CEOs</scp> and Strategic Disclosure of Litigation Loss Contingencies
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
Using hand‐collected data, we find that lawyer CEOs, defined as CEOs with a legal education background, tend to make first disclosures about pending litigation cases on a timelier basis for litigation cases that end up with material losses than do non‐lawyer CEOs. However, for cases that result in immaterial losses, the presence of lawyer CEOs is not associated with optimistic claims. In contrast, lawyer CEOs are less likely to issue pre‐warnings prior to material settlements than non‐lawyer CEOs. We attribute the latter finding to the high perceived levels of disclosure proprietary costs in terms of ‘tipping one's hand’ to opposing counsels. These findings suggest that lawyer CEOs do not always exhibit conservative and risk‐averse disclosure styles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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