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Record W2114112864 · doi:10.1177/0160449x11422608

Union Renewal, Postheroic Leadership, and Women’s Organizing

2011· article· en· W2114112864 on OpenAlexaff
Linda Briskin

Bibliographic record

VenueLabor Studies Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsYork University
Fundersnot available
KeywordsPoliticsScholarshipSociologyInvisibilityPolitical sciencePolitical economyPublic administrationDiversification (marketing strategy)Trade unionPublic relationsLawEconomicsLabour economicsMarketing

Abstract

fetched live from OpenAlex

This article examines leaders, leadership, and union renewal with a focus on women’s leadership and organizing. First, it considers the links between union renewal and women’s local and informal leadership; and second, the contribution of constituency and cross-constituency organizing to union revitalization. It scrutinizes notions of “heroic” leaders, often implicit in union discourse and practice, which undermine membership mobilization, impede the diversification of leadership demographics and the union renewal project, and contribute to the invisibility of other forms of often-gendered leadership. It explores the alternative paradigm of postheroic leadership and argues that constituency organizing is a form of postheroic practice. In so doing, this article challenges union-renewal paradigms to take more seriously women’s union leadership and constituency organizing as vehicles for revisioning unions, and offers some alternative entry points into the longstanding political debates and scholarship about women and trade union leadership.

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)0.004
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.013
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.320
Teacher spread0.205 · 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

Citations48
Published2011
Admission routes1
Has abstractyes

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