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
This paper analyzes the effects of mandated, management compensation disclosures on compensation levels. For identification, I use the introduction of the Compensation Discussion and Analysis (CD&A) in 2006, a significant expansion in the required disclosures related to compensation. The design uses the timing of the introduction date to compare manager pay at firms with and without the disclosure in a difference-in-differences analysis. I find evidence that disclosures are associated with increasing compensation. Also, the CD&A is associated with increases in pay dispersion. I corroborate this evidence with the partial rollback of the CD&A allowed by the Jumpstart Our Business Startups Act in 2012, again finding that the CD&A is associated with higher compensation. From cross-sectional tests, this compensation increase appears to be concentrated among managers with shorter tenure, at smaller firms, and in industries with higher variation in pay. Entrenched and powerful managers (CEOs, CFOs, and executive directors) do not have incremental pay increases with disclosures.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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