L’EDI comme instrument d’action publique : l’exemple des organisations culturelles au Canada
Bibliographic record
Abstract
Restituant une étude conduite en 2020-2021, cet article postule que les dispositifs d’équité, de diversité et d’inclusion (EDI) sont devenus de véritables instruments d’action publique (Halpern et al., 2014). L’étude traite des organisations culturelles, de leurs efforts, de leurs besoins et des défis auxquels elles font face pour intégrer l’EDI. Elle repose sur 65 entrevues semi-structurées avec des artistes et des personnes travaillant dans des organisations culturelles de quatre villes canadiennes. Les résultats mettent en évidence un besoin de ressources additionnelles et des enjeux structurels importants. Malgré les cadres normatifs en vigueur au Canada et les ressources existantes, les résultats montrent que l’inclusion des publics et la promotion de différentes formes d’arts demeurent de véritables enjeux pour approfondir l’EDI dans le champ de la culture.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".