La situation et les enjeux spécifiques des travailleuses vieillissantes
Bibliographic record
Abstract
Le présent article s'inspire des résultats d'une recherche sur les caractéristiques des travailleuses vieillissantes pour présenter quelques-uns des principaux aspects de la question du vieillissement des femmes au travail. Il traite d'abord brièvement de la gestion des ressources humaines au regard de la main-d’œuvre vieillissante, puis expose des données mettant en relief quelques distinctions importantes entre la situation des femmes et des hommes vieillissants sur le marché du travail. L'article fait ensuite état des tendances démographiques générales caractérisant le Canada afin de bien comprendre dans quel contexte se présente le vieillissement des femmes et des hommes. Puis, il aborde les caractéristiques propres à la main-d’œuvre âgée de 45 à 64 ans, en mettant en évidence la situation propre aux femmes. Enfin, il tente de dégager les principaux enjeux au regard de l'évolution démographique actuelle et future et propose quelques pistes de solution qui pourraient améliorer la situation des femmes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 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".