Les politiques de gestion de la diversité dans les organisations : Proposition de typologie à l’usage des chercheurs et des entreprises
Bibliographic record
Abstract
Cet article propose un cadre de référence avec des pistes d’action pour mettre en oeuvre les politiques de diversité des organisations. Un retour sur l’émergence et l’évolution du concept de diversité, aux Etats-Unis et en France, permet d’illustrer la contingence contextuelle de la notion, les tensions suscitées par son exportation, mais également les problématiques communes. A partir d’une analyse de la littérature sur les pratiques de diversité en France, nous proposons une typologie du management de la diversité en trois volets : (i) la lutte contre les discriminations, (ii) la valorisation des différences, et (iii) le renforcement du collectif sous une identité commune.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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 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".