Effet du salaire minimum sur l'emploi au Canada (1976-2015)
Bibliographic record
Abstract
Ce mémoire examine l’impact des ajustements du salaire minimum sur la réallocation de l’emploi au Canada entre 1976 et 2015, en utilisant un modèle de régression logistique multinomiale. Les résultats montrent que les augmentations du salaire minimum augmentent significativement la probabilité d’être employé, tout en réduisant celle d’être au chômage ou inactif. Elles favorisent l’emploi dans le secteur tertiaire au détriment des secteurs primaire et secondaire et augmentent l’emploi dans les grandes entreprises, mais réduisent celui dans les petites et moyennes entreprises. De plus, une hausse du salaire minimum accroît la probabilité d’occuper un emploi à temps plein ou non permanent, au détriment des emplois à temps partiel et permanents. Ces conclusions mettent en lumière l’importance d’une évaluation nuancée des politiques de salaire minimum, en tenant compte de leurs effets variés sur les différentes dimensions du marché du travail.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".