Investigating gendered reactions to manager mistreatment: Testing the presumed role of prescriptive stereotypes
Bibliographic record
Abstract
Summary Emerging research demonstrates that female managers who mistreat their subordinates suffer more severe negative consequences than male managers. Researchers presume this is because women (but not men) are penalized for acting incongruently with communality prescriptions (i.e., being insufficiently kind). However, integrating this work with the broader literature on gender and leadership, gendered reactions to mistreatment could also—or alternatively—be explained by incongruence with high agency proscriptions (i.e., being too dominant). We model these mechanisms simultaneously in a moderated mediation model across three studies, and find that employees are less trusting of female than male managers because they interpret interpersonal justice violations from women as incongruent with low agency prescriptions. Our results challenge a prevailing assumption in the mistreatment literature by revealing that female managers suffer more severe relational consequences than male managers because their violation of interpersonal justice is construed as excessively agentic, whereas these behaviors are viewed as similarly contravening communality for both male and female managers. By directly testing and correctly specifying the mechanism through which manager gender can shape social exchange processes in the aftermath of manager mistreatment, our studies have scientific and practical implications.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
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".