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Record W7005778615

Sex, Race & Sacrifice: Union Organizers in the New Labour Movement

2014· dissertation· en· W7005778615 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2014
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicLepidoptera: Biology and Taxonomy
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)White (mutation)Movement (music)Race (biology)DemocracyEmpowermentInequalitySocial movement
DOInot available

Abstract

fetched live from OpenAlex

<p>The rallying cry to 'organize the unorganized' is a key part of the new labour movement's rebirth in Canada and the United States of America. Thus, unions have begun to expand their organizing departments with an eye to hiring organizers that 'match' their target membership. However, an in-depth examination of the experiences of racialized and White women organizers in particular, has not been conducted and taking into consideration that women and racialized workers are key to labour renewal, their experiences as union staff are hugely significant. These experiences serve as an entry point into a larger anti-racist and feminist analysis of new labour.</p> <p>While the new social movement union principles include diversity, worker empowerment and militancy, and democracy and it takes pains to distinguish itself from the old type of business unionism with its hierarchical structures and focus on seiVic8s, the new labour movement conflates the differences between it and the old business union model which masks its undermining of these principles. The new labour movement justifies its inconsistent behaviours in a context of crisis that is defined purely in terms of numbers. The crisis mentality intersects with structural inequalities to further marginalize racialized and White women organizers, who have been 'brought' into the new labour movement on a platform of union renewal, and creates an environment in which such women may self-censor and sacrifice themselves for a perceived common good. This ultimately undermines the union renewal project as a whole.</p>

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.958
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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