Mind the gap: Wise reasoning attenuates gender pay gap scepticism in men
Bibliographic record
Abstract
Abstract We draw from theory on motivated reasoning to suggest that men would be more prone toward gender pay gap scepticism (PGS) than women because doing so maintains a valued but illusory belief that society is currently fair. Integrating theory on wisdom and wise reasoning—a self‐transcendent thinking process composed of intellectual humility, contextualism, perspectivism and dialecticism—we also hypothesised that men who engaged in stronger (vs. weaker) wise reasoning about the pay gap would be less prone toward PGS. Two pre‐registered studies (N = 651) supported the predictions: generally, men were more prone toward gender PGS than women, while wise reasoning tended to attenuate scepticism in men. The patterns of effects remained stable when controlling for income, education, political orientation, and perceptions of the effects of COVID‐19 on women's economic and psychological well‐being. Our studies pave the way for interventions that alter how people reason about inequities such as the gender pay gap in an effort to create fairer workplaces and societies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".