Qu'en est-il de la singularité québécoise en matière de syndicalisation ?
Bibliographic record
Abstract
Les médias font régulièrement référence au taux très élevé de syndicalisation au Québec qui ferait de la province un château fort du syndicalisme en Amérique du Nord. Cette opinion est fondée sur les estimations de la densité syndicale fournie par le ministère du Travail du Québec dans sa publication annuelle Les relations du travail. Une analyse critique des sources et de la méthodologie utilisée par cet organisme montre que ses évaluations depuis le début des années 1980 ont tendance à surestimer fortement la syndicalisation. Les estimés fournis par Statistique Canada (CALURA et enquêtes) permettent une meilleure approximation du taux de syndicalisation qui se situerait à environ 41 % en 1992. Parmi les provinces canadiennes, le Québec est dans le peloton de tête avec la Colombie-Britannique, mais derrière Terre-Neuve. Ce taux relativement élevé le place au dixième rang parmi les pays industrialisés en 1989.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".