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Record W2340097538 · doi:10.25071/1705-1436.189

How CUPE 3903 Struck and Won

2002· article· en· W2340097538 on OpenAlexvenueaboutno aff
Clarice Kuhling

Bibliographic record

VenueJust Labour · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceSloganHumanitiesDemocracyGeographyArtLawPolitics

Abstract

fetched live from OpenAlex

On October 26, 2000 approximately 2200 members of Canadian Union of Public Employees (CUPE) Local 3903 went on strike united under the slogan "Strike To Win". Seventy-eight days later CUPE 3903 celebrated a victory with profound implications for the post-secondary educational system and broader labour movement. The significance of the strike victory, however, lies not merely in what was attained in concrete terms, but also in the way the strike was carried out. Drawing upon the principles, practice and strategies of democracy, solidarity, and militancy, we struggled for change in ways which developed and expanded our capacities for self-activity and self-organization. In the process we gained a better understanding not only of the world around us but of our abilities to change that world, expanding the horizons of what we thought was possible. Le 26 octobre 2000, environ 2 200 membres de la section locale 3903 du Syndicat canadien de la fonction publique (SCFP), employés d’université York à Toronto, se sont mis en grève sous le slogan « faire la grève pour gagner ». Soixante-huit jours plus tard, la section locale 3903 a célébré une victoire qui a de profondes répercussions sur le système d’enseignement postsecondaire et le mouvement syndical. Toutefois, l’importance de cette grève a trait non seulement aux gains concrets obtenus mais aussi à la façon dont la grève a été menée. En nous fondant sur les principes, les pratiques et les stratégies de la démocratie, de la solidarité et du militantisme, nous avons lutté pour provoquer un changement par des moyens qui ont accru nos capacités d’agir et de nous organiser. Cela nous a permis de mieux comprendre non seulement le monde qui nous entoure mais encore nos capacités de changer ce monde, élargissant ainsi l’horizon de ce que nous pensions possible.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score0.433

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0480.007
Scholarly communication0.0140.003
Open science0.0020.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0440.009

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.

Opus teacher head0.048
GPT teacher head0.291
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2002
Admission routes2
Has abstractyes

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