The Impact of Corporate Governance on Executive Compensation
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 This paper examines the relationship between the compensation of the top five executives at a set of over 400 publicly listed Canadian firms and various internal and external corporate governance‐related factors. The media is full of stories suggesting a relationship between large executive compensation packages and failures in governance at various levels within organisations, but there exists little formal analysis of many of these relationships. Our analysis provides empirical evidence supporting some of these assertions, refuting others and documenting new relationships. We find that variances in internal governance related to differences across firms in the characteristics of the CEO, compensation committee and board of directors do influence both the level and composition of executive compensation, especially for the CEO. Considering external measures of corporate governance, we find that different types of shareholders and competitive environments impact executive compensation. We do not find that either the internal or external governance characteristics dominate .
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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 | 0.001 |
| 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 | 0.001 |
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 it