La mise en oeuvre d’une démarche diversité en PME – Quelques enseignements d’un centre d’appel spécialisé
Bibliographic record
Abstract
Dans cette publication nous souhaitons aborder la question de la diversité sous l’angle d’une petite et moyenne entreprise (PME). Il est souvent évoqué que les démarches diversité dans des PME sont différentes de celles des grandes entreprises. L’objectif de cet article est tout d’abord de montrer que les PME s’engagent également et que leurs approches ne sont pas aussi éloignées de celles des grands groupes. D’un point de vue théorique, nous souhaitons démontrer à travers une étude empirique, que l’intégration de la diversité peut emmener les entreprises de petite et moyenne taille d’une approche traditionnelle en ressources humaines (RH) vers une approche renouvelée dite stratégique.
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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 | 0.008 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".