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Record W1480244035

Hard Times, Hard Bargains: The Politics of the Canadian Autoworkers During Fiscal and Political Crises

2010· article· en· W1480244035 on OpenAlexaboutno aff
Tim Fowler, Hugo Chesshire

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsNegotiationContext (archaeology)Political sciencePolitical economyPublic administrationSociologyLawGeography
DOInot available

Abstract

fetched live from OpenAlex

The CAW came into being in 1985 from the breakaway Canadian arm of the UAW. Ever since their origins in the 1984 negotiations with the Big Three automakers, the CAW styled itself as a union that would bargain under the axiom, “No Concessions”, distinguishing them from the concessionary UAW. Away from the bargaining table, the CAW has situated itself broadly on the left of the political spectrum, and has actively supported the NDP at the Federal and provincial levels in Anglophone Canada. At times, the CAW has criticized the NDP for not being sufficiently left-wing.Recently the CAW has undergone major changes in their politics, in bargaining and elsewhere. The CAW dropped support for the NDP in favour of strategic voting, severed all formal ties to the NDP, and then publicly endorsed the Liberal Party of Canada. During the 2009 economic crisis, the CAW acquiesced to massive concessions, under pressure from both corporations and governments, to secure the future of auto manufacturing in Canada.Our paper situates CAW decisions within the context of the pressures that neoliberalism has exerted on organized labour (arguably experiencing “hard times” in Canada since the early 1980s), which have increased exponentially during the last 24 months. We argue that the CAW has shifted from fighting against neoliberal reforms to fighting for the union’s very survival. The paper uses the 2008-09 round of collective bargaining as the central case, as it exemplifies how the CAW has responded to both the “hard times” of the current fiscal crisis and the greater “hard times” of neoliberal reform.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.229
Threshold uncertainty score0.895

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0590.017
Scholarly communication0.0150.002
Open science0.0020.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.009
GPT teacher head0.255
Teacher spread0.247 · 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 designQualitative
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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

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