La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ?: l’exemple canadien
Bibliographic record
Abstract
L'objet de cet article est d'évaluer la valorisation salariale et professionnelle des formations continues, formelles et informelles, en centrant l'analyse sur les différences entre sexes. Pour ce faire, les données canadiennes de l'Enquête sur le milieu de travail et les employés (EMTE) 1999-2000 sont utilisées. On estime, par maximum de vraisemblance simulé, un probit trivarié récursif qui modélise simultanément la probabilité de suivre les différentes formations en entreprise et leur influence sur l'obtention d'une promotion. Les rendements salariaux des formations en entreprise et la rentabilité des promotions sont évalués à l'aide d'équation de salaires où ces variables sontinstrumentées.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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".