Comparing Outgoing Female CEOs With Prior CEO Experience To Outgoing Female CEOs With No Prior CEO Experience
Why this work is in the frame
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Bibliographic record
Abstract
<p>It is difficult for females to climb the corporate ladder to the CEO position. Most of the previous research examines the obstacles that prevent females from reaching top management positions and ultimately the top position of CEO. In this study we examine this issue from the opposite side, i.e., we examine CEO successions were the outgoing CEO is female and the incoming CEO is male. We distinguish between outgoing female CEO successors who have prior CEO experience and those who do not have prior CEO experience. We find that prior CEO experience is positively related to the outgoing female CEO total compensation in the year preceding the succession, positively related to firm performance and negatively related to the probability of firm bankruptcy in the three years preceding the succession. Prior CEO experience is also positively related to the percentage of female and ethnic minority directors on the board in the two years preceding the succession.</p>
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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