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Record W3107764365 · doi:10.1177/0950017020954746

A Feminist Political Economy Critique of ‘the Militant Minority’

2020· article· en· W3107764365 on OpenAlexaffabout
Adam D.K. King

Bibliographic record

VenueWork Employment and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsMilitantScholarshipCollective bargainingLabour lawPoliticsPolitical economyTrade unionPower (physics)Political scienceSociologyEconomicsLawLabour economics

Abstract

fetched live from OpenAlex

Recent growth in strike activity in the United States and Canada has motivated a broad scholarship on union organizing and labour movement revitalization. However, researchers and activists particularly concerned with the role of member mobilization in union renewal have downplayed institutional changes to labour law and regulation which might address the decline of union density and worker power. This commentary offers a feminist political economy critique of recent works on ‘the rank and file strategy’ and ‘the militant minority’ by arguing that greater focus should be devoted to how North American labour law and decentralized bargaining continue to impede union renewal. The article briefly traces the gendered legacy of ‘Wagnerism’ and the latter’s growing incompatibility with contemporary workplaces and forms of employment. It then makes the case for thinking through how organizing could also push for labour law reform, particularly towards broader-based, sectoral forms of collective bargaining and labour market regulation.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.035
Scholarly communication0.0060.005
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.022
GPT teacher head0.286
Teacher spread0.264 · 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 designTheoretical or conceptual
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

Citations1
Published2020
Admission routes2
Has abstractyes

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