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Record W1545436941 · doi:10.7202/014764ar

When Corporations Substitute for Adversarial Unions

2007· article· en· W1545436941 on OpenAlexaffvenue
Wayne Lewchuk, Don Wells

Bibliographic record

VenueRelations industrielles · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsRestructuringIndustrial relationsEthosEconomic systemHuman resource managementLabour economicsLabor relationsEconomicsPromotion (chess)Context (archaeology)SituatedMarket economyBusinessIndustrial organizationPolitical scienceManagement

Abstract

fetched live from OpenAlex

The industrial relations system at Magna International is an example of an integrated, coherent, non-union human resource management strategy. It includes significant mechanisms of worker voice and conflict resolution as substitutes for union representation. Potential labour-management conflicts associated with Taylorized labour processes are often translated into group problem-solving. Redistributive conflicts are re-framed as mutual gains through profit-sharing. Corporate communications promote an ethos of competitiveness. Individualized pay and promotion schemes, segmented internal labour markets, and the exposure of individual plants to competitive pressures, promote cultures of labour cooperation in the pursuit of productivity gains. The success of this union avoidance model is situated in a context of the erosion of unionized labour relations, the disciplinary effects of precarious labour markets, and the vulnerability of workplaces to transnational competitive forces. Continued success is predicated on Magna’s ability to survive sectoral and macroeconomic restructuring forces which are, in large measure, beyond management’s control.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.305
Teacher spread0.262 · 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 teacher head, not a consensus.

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

Citations9
Published2007
Admission routes2
Has abstractyes

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