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Record W4387676731 · doi:10.15173/glj.v14i3.5624

Locating labour conflict and its organising forms in contemporary times: between class and the reproduction of capitalism

2023· article· en· W4387676731 on OpenAlexvenueno aff
Maurizio Atzeni, Devi Sacchetto

Bibliographic record

VenueGlobal Labour Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)CapitalismSociologyDisciplineClass conflictReproductionClass analysisSocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

The following article aims to provide a conceptually rooted introduction to the articles in the internationally coordinated themed collection on Labour Conflict, Class and Collective Organization, an initiative which has involved four journals focusing on labour studies from different geographical angles and academic traditions: Economic and Labour Relations Review (ELRR); Global Labour Journal (GLJ); Partecipazione e Conflitto (PACO); and Revista Latino Americana de Estudios del Trabajo (RELET). The contributions across the four journals are diverse, both in terms of geographical focus, disciplinary perspectives and sector of analysis. This diversity is very welcomed and represents a fertile soil for conceptual considerations, because it corresponds to the manifold forms in which labour conflict expresses itself in the reality of capitalism. What’s the abstract unity of these concrete empirical realities, as Marx would have put it? In the following introduction, we focus on two general theoretical issues we consider fundamental and mutually interrelated: a rethinking of workers’ collective forms of organization within and beyond trade unions; and the framing of these forms and of labour conflict in the broader historical dynamics of working classes formation. With this, we hope to provide a lens of analysis for the articles in the international special issue and, more generally, methodological guidance to future studies on labour conflict.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.860
Threshold uncertainty score0.553

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
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 teacher head, 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

Citations11
Published2023
Admission routes1
Has abstractyes

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