Pertes de gains des travailleurs deplaces ayant une participation stable au marche du travail : donnees recentes pour le Canada
Bibliographic record
Abstract
Dans la presente etude, on examine les pertes de gains a long terme des travailleurs mis a pied au debut des annees 1990 et au debut des annees 2000, a partir de donnees du Fichier de donnees longitudinales sur la main d'oeuvre (FDLMO) de Statistique Canada. Contrairement aux etudes anterieures, dont de nombreuses sont axees sur des echantillons restreints, la presente etude compare les pertes de gains de tous les groupes de travailleurs deplaces ayant une participation stable au marche du travail avant leur mise a pied. L'etude montre qu'en mettant l'accent uniquement sur les travailleurs mis a pied ayant beaucoup d'anciennete ou les travailleurs mis a pied par suite de fermetures d'entreprises, on exclut au moins les deux tiers des travailleurs canadiens deplaces ayant une participation stable au marche 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 | 0.008 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.016 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".