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Record W1922472132 · doi:10.18740/s4m887

The ‘Great Recession,’ the Employers’ Offensive and Canadian Public Sector Unions

2011· article· fr· W1922472132 on OpenAlexafffundvenueabout
David Camfield

Bibliographic record

VenueSocialist studies · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsUniversity of Manitoba
FundersUniversité Laval
KeywordsPolitical sciencePublic sectorHumanitiesContext (archaeology)ArtGeographyLaw

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.775
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0150.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.153
GPT teacher head0.331
Teacher spread0.178 · 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; both teacher heads agree on what is shown here.

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

Citations5
Published2011
Admission routes4
Has abstractyes

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