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Record W2276097978 · doi:10.25071/1705-1436.132

Individualisation and Resistance at the Coal Face

2005· article· fr· W2276097978 on OpenAlexvenueno aff
David Peetz, Georgina Murray

Bibliographic record

VenueJust Labour · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationPolitical scienceHumanitiesResistance (ecology)CorporationManagementSociologyEconomicsPhilosophyLaw

Abstract

fetched live from OpenAlex

This paper examines the implementation of a model of systematic individualisation of the employment relationship by a large multinational corporation in Australia, operating with the support of a pro-corporate state, and the nature and effects of resistance. Principally through interviews with affected workers, we show how the symbolic and the real effects of employment practices, relational practices and informational practices were all aimed at removing freedom of association and replacing it with uncontested, union-free managerial control. We consider how workers and their families were affected by these strategies and how they and their union responded.Cet article examine la mise en place d'un modèle systématique d'individualisation de la relation d'emploi par une grande multinationale australienne, cela avec le support d'un gouvernement partialement favorable au patronat. La nature et l'impact de la résistance des travailleurs syndiqués sont également mis à jour. Nous montrons, principalement à l'appui des témoignages des travailleurs en cause, comment les effets réels ou symboliques des pratiques d'emploi, ceux des pratiques relationnelles et informationnelles ont été utilisés de concert pour dénier la liberté d'association et la remplacer par un contrôle gestionnaire incontestable et exempt de présence syndicale. Nous relatons comment les travailleurs et leurs familles ont souffert de ces stratégies patronales et comment leur syndicat a rétorqué.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.916
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.299
Teacher spread0.270 · 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 designTheoretical or conceptual
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

Citations1
Published2005
Admission routes1
Has abstractyes

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