Efficacité des lois contraignantes et des lois souples pour promouvoir la diversité de genre dans les conseils d’administration : une comparaison France/Canada
Bibliographic record
Abstract
Pour favoriser la féminisation des conseils d’administration, certains pays, comme la Norvège ou la France, ont voté une loi contraignante imposant un quota ; d’autres pays comme le Canada ont adopté une loi souple de type comply or explain. L’article propose une comparaison de l’efficacité des lois contraignantes et des lois souples dans le cas de la promotion de la diversité dans les conseils d’administration. L’étude France – Canada de 445 sociétés cotées sur la période 2011-2014 confirme la féminisation plus grande et plus rapide des conseils d’administration en France, sans s’écarter davantage qu’au Canada des normes de recrutement en vigueur.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; both teacher heads agree on what is shown here.
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".