Bibliographic record
Abstract
CUPE On Strike offers a profile of the 1502 CUPE strikes since the union's inception in 1963 until 2004. In addition to breakdowns by province and industry, it considers strike incidence over time, duration, size of strikes, contract status, results, and the pattern of lockouts and rotating strikes. Like the overall Canadian strike profile, a majority of strikes are in small workplaces and are settled relatively quickly. Not surprisingly, CUPE strikes are clustered in Public Administration, and Health Care and Social Assistance. This demographic might help to explain the fact that CUPE has been involved in fewer wildcats, lockouts and strikes for first contracts than other unions. Although the overall trend for Canada since the 1990s has been a decrease in strikes, a modest shift in the last five years is evident in the data. For CUPE, this means more workers on strike, longer strikes, and more lockouts, all of which suggest an escalation in employer aggression. The Canadian data which highlight increasing public sector militancy and the feminization of that militancy suggest that CUPE will be a key player in the map of labour militancy in the future. This profile of the strike activities of CUPE, the largest union in Canada, makes visible the experience of strikes from the point of view of workers and their unions. Not only does it contribute to a labour militancy perspective on the quantitative data on work stoppages from Human Resources and Social Development Canada (HRSDC), it also demonstrates the potential of the data to enrich our understanding of worker militancies.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.013 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.004 |
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".