Is Transformational Leadership Always Perceived as Effective? Male Subordinates' Devaluation of Female Transformational Leaders<sup>1</sup>
Why this work is in the frame
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Bibliographic record
Abstract
This study investigated the impact of the gender composition of the leader–subordinate dyad on the relationship between leaders' transformational leadership behavior and their subordinates' ratings of the leaders' effectiveness. There were 109 dyads of leaders (58 male, 51 female) paired with a subordinate who was either the same or a different gender from themselves. The relationship between a leader's self‐report on transformational leadership and their subordinates' evaluation of their performance was significantly less positive for female leaders with male subordinates than for female leaders with female subordinates. The male and female subordinates of male leaders rated their performance as equally effective, regardless of their levels of transformational leadership.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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