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Record W2146268524 · doi:10.1177/0959680110385752

Referential unionisms and globalization: A comparative study of workplace union dynamics

2010· article· en· W2146268524 on OpenAlexaffabout
Gregor Murray, Christian Dufour, Adelheid Hege, Christian Lévesque

Bibliographic record

VenueEuropean Journal of Industrial Relations · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsHEC MontréalUniversité de Montréal
Fundersnot available
KeywordsRestructuringMultinational corporationGlobalizationCollective actionFace (sociological concept)Industrial relationsEconomic systemDynamics (music)Diversity (politics)Economic geographyPower (physics)Comparative researchPolitical scienceBusinessSociologyEconomicsMarket economyManagementSocial science

Abstract

fetched live from OpenAlex

How do unions contend with change in the face of strong external pressures associated with globalization? Comparative workplace ethnographies point to the persistent diversity of local actor responses. This article advances the concept of referential unionisms to understand the adaptive processes at play. Focusing on the interactions between collective identities, repertoires of action, power resources, and representative and strategic capacity, it examines how two workplace unions in the manufacturing sector in France and in Canada cope with management strategies to meet their multinational company performance objectives through the restructuring of social and productive relations in their sites.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.010
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.054
GPT teacher head0.317
Teacher spread0.263 · 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 designObservational
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

Citations28
Published2010
Admission routes2
Has abstractyes

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