The ‘Great Recession,’ the Employers’ Offensive and Canadian Public Sector Unions
Bibliographic record
Abstract
The global economic crisis and its effects have changed the context for public sector unions in Canada. There is evidence that an intensified offensive against public sector unions is beginning. Few public sector unions are prepared to respond adequately to such an offensive, as the important 2009 strike by Toronto municipal workers illustrates. In this more difficult context, change within public sector unions is increasingly urgent. The most promising direction for union renewal lies in the praxis of social movement unionism. However, there are very few signs of moves to promote this approach within Canadian public sector unions. La crise économique globale et ses effets ont changé le contexte pour les syndicats du secteur public au Canada. Il y a des signes qu’une attaque violente contre les syndicats du secteur public a commencé. Peu de syndicats du secteur public sont prêts à répondre dans une manière satisfaisante à cette attaque, comme le montre la grève importante des travailleurs municipaux à Toronto en 2009. Dans ce contexte plus difficile, des changements au sein des syndicats du secteur public sont de plus en plus urgents. La direction la plus prometteuse pour une renaissance syndicale est la pratique d’un syndicalisme de mouvement social. Toutefois, il y a très peu d’indices que les syndicats du secteur public au Canada s’inscrivent dans une telle approche.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.033 | 0.010 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".