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Record W600081373

Unions, equity, and the path to renewal

2009· book· en· W600081373 on OpenAlexaboutno aff
Janice Foley, Patricia L. Baker

Bibliographic record

VenueUBC Press eBooks · 2009
Typebook
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsSolidarityTrade unionEquity (law)PoliticsSociologyFoleyPolitical sciencePolitical economyGender studiesPublic administrationEconomic historyLawHistoryLabour economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

Introduction / Janice Foley Part 1: The Equity Struggle - Past and Future 1 Gendering Union Renewal: Women's Contributions to Labour Movement Revitalization / Jan Kainer 2 Too Bad, You Were Too Late Coming In! / Marie-Josee Legault Part 2: The Equity Struggle - Black Trade Unionists Speak Out 3 Confronting Racism in the Canadian Labour Movement: An Intergenerational Assessment / Miriam Edelson 4 Equity in Unions: Political Correctness or Necessity for Survival? / Carol Wall 5 Are We There Yet? The Struggle for Equity in Canadian Unions / Marie Clarke Walker Part 3: Equity, Solidarity, and Union Renewal 6 Bargaining for Economic Equality: A Path to Union Renewal, Then and Now / Anne Forrest 7 Developing a Conceptual Model of Equity Progress in Unions / Janice Foley 8 Cross-Constituency Organizing: A Vehicle for Union Renewal / Linda Briskin Part 4: International Perspectives on Equity and Union Renewal 9 Gender Politics in Australian Unions: Gender Equity Meets the Struggle for Union Survival / Barbara Pocock and Karen Brown 10 Sites for Renewal: Women's Activism in Male-Dominated Unions in Australia, Canada, and the United States / Mary Margaret Fonow and Suzanne Franzway 11 The Representation of Women and the Trade Union Merger Process / Anne McBride and Jeremy Waddington 12 Old Tracks, New Maps? The Meaning of Women's Groups for Trade Union Revival in Britain / Jane Parker Index

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.260
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0110.006
Scholarly communication0.0120.006
Open science0.0010.004
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0780.006

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 head0.035
GPT teacher head0.316
Teacher spread0.281 · 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 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

Citations13
Published2009
Admission routes1
Has abstractyes

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