Les attentes différenciées des talents selon le sexe : une approche par la justice procédurale et la justice distributive
Bibliographic record
Abstract
La présente recherche vise à étudier l’impact différencié selon le sexe des justices procédurale et distributive, sur l’intention de rester des travailleurs considérés comme des talents, via l’effet médiateur de l’engagement organisationnel. Les données utilisées pour le traitement statistique proviennent d’une enquête menée auprès d’un échantillon de 220 talents œuvrant dans des organisations de la Région Centre Val de Loire (France). Les principaux résultats indiquent que seule la justice distributive contribue à faire augmenter l’intention de rester des talents féminins. De plus, l’engagement organisationnel agit comme variable médiatrice seulement chez les talents féminins. Chez les talents masculins, seule la justice procédurale fait augmenter l’engagement organisationnel mais n’a pas d’impact direct sur leur intention de rester. La recherche se conclut en élaborant certaines pistes pour mieux fidéliser les talents en renforçant leur intention de rester.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| 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 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".