The impact of female executives on the pay disparity relationship between organizational staff and executives from a diversity perspective
Bibliographic record
Abstract
The pay disparity between staff and executives has always been a hot issue in corporate governance. This paper empirically analyzes the governance effect of female executives on the pay disparity between staff and executives based on principal-agent theory, social equity theory, role theory, and upper echelon theory. The study found that female executives have a significant inhibitory effect on the salary gap between executives and employees; compared with state-owned enterprises, the inhibitory effect of female executives on the salary gap between executives and employees is more significant in non-state-owned enterprises; the environment is uncertain The more extraordinary the gender, the more influential the inhibitory effect of female executives on the pay disparity between staff and executives; the greater the power of female executives, the more significant the inhibitory effect of female executives on the pay disparity between staff and executives. The research conclusion helps to deepen the understanding of the effects of female executives’ participation in corporate governance from the perspective of compensation governance. It has reference significance for the construction of corporate senior management teams.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".