Climat de diversité et leadership authentique : l’effet médiateur du stéréotype masculin du leader
Bibliographic record
Abstract
Cet article présente les résultats d’une étude quantitative menée sur 711 managers explorant la relation entre le climat de diversité et l’expression du leadership authentique. À travers un modèle de médiation modéré, nous mettons en lumière le rôle du stéréotype masculin du leader performant. Les résultats confirment la relation positive entre climat de diversité et leadership authentique, ils révèlent également que le climat de diversité contribue à l’expression du leadership authentique en réduisant significativement le stéréotype masculin du leader performant, et ce, tout particulièrement pour les répondants masculins. Nos résultats contribuent ainsi à une meilleure compréhension du mécanisme par lequel le climat de diversité oriente les comportements de leadership, notamment chez les leaders. Pratiquement, ils invitent les organisations qui souhaitent développer le leadership authentique de leurs managers à concentrer les efforts des politiques de DEI non seulement sur les stéréotypes de genre, mais également la transformation des stéréotypes du leader et la culture de leadership.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 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".