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Record W4378193489 · doi:10.52975/llt.2023v91.006

“La Grève de la fierté”

2023· article· en· W4378193489 on OpenAlexaffvenueabout
Lauren Laframboise

Bibliographic record

VenueLabour / Le Travail · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsConcordia University
Fundersnot available
KeywordsDeindustrializationRestructuringImmigrationIndustrial actionPolitical scienceIndustrial relationsSociologyEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

On 15 August 1983, 9,500 workers from the Montréal locals of the International Ladies’ Garment Workers’ Union went on strike for the first time in 43 years. The strike became known as “la grève de la fierté” and made clear that the women working in the city’s garment factories were taking a stand against the layoffs and closures prompted by industrial restructuring and deindustrialization. However, the strike’s success was limited, revealing the extent to which the structural inequities in the garment industry had calcified along gendered, classed, and ethnic lines. The union executive had grown increasingly distant from its rank-and-file, and it was immigrant women workers who were left to organize against the flurry of closures and the corresponding decline in their working conditions. The campaign leading up to the 1983 strike, organized by the Comité d’action des travailleurs du vêtement, articulated a series of demands for the improvement of workplace health and safety conditions, better benefits, and more representative union leadership. With original archival research and oral history interviews, I argue that the 1983 “grève de la fierté” illustrates how the historically entrenched gendered structure of labour relations shaped the pathways of deindustrialization in Montréal’s garment industry.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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 teacher head, not a consensus.

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
Published2023
Admission routes3
Has abstractyes

Explore more

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