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Record W2139706176 · doi:10.7202/014763ar

Still ‘Regime Competition’?

2007· article· en· W2139706176 on OpenAlexvenueno aff
Valeria Pulignano

Bibliographic record

VenueRelations industrielles · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationNegotiationCompetition (biology)RestructuringCorporationOrder (exchange)European unionBusinessInternational tradePolitical scienceLaw

Abstract

fetched live from OpenAlex

This article studies trade unions’ response to transnational change in a large multinational corporation within the motor industry in Europe. We show how the use of the European Works Councils (EWCs) as a forum for European negotiation did not counter the management’s effort to whipsaw trade unions, such as to play off workers against each other in local negotiations. This seems to suggest that the effort to network and coordinate between employee representatives, and to negotiate with management through ‘active’ EWCs is ineffective at controlling inter-union competition in cases of transnational restructuring. Hence, research outcomes illustrate that an analysis of the impact of European-level agreements on plant level is requested in order to assess the effectiveness of ‘active’ EWCs in forging cross-national links.

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)0.006
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.011
Scholarly communication0.0070.008
Open science0.0020.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0380.003

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 head0.027
GPT teacher head0.293
Teacher spread0.266 · 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

Citations25
Published2007
Admission routes1
Has abstractyes

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