Diriger un établissement multiculturel à Genève ou Montréal: le leadership à l’épreuve de la reconnaissance de la diversité.
Bibliographic record
Abstract
Face à l’accroissement des migrations internationales et à la diversification croissante du public scolaire, les directions d’école se doivent de proposer des mesures efficaces et pertinentes de prise en compte des cultures d’origine au sein de leur établissement. Nous proposons dans cet article de comprendre la manière dont les directions d’établissement de deux villes multiculturelles, Genève (Suisse-romande) et Montréal (Québec), répondent à ce défi. 44 entretiens semi-directifs ont été réalisés et analysés à partir du cadre théorique du leadership pour la justice sociale. Les résultats montrent des différences notables quant à la légitimité de l’expression de la différence culturelle entre les deux contextes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".