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Record W3031871071 · doi:10.15173/glj.v11i2.4076

The Powers of Australian Retail Workers as a Section of the Global Working Class

2020· article· en· W3031871071 on OpenAlexvenueno aff
Pooya Karambakhsh

Bibliographic record

VenueGlobal Labour Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsAgency (philosophy)Power (physics)NothingCapital (architecture)Section (typography)Class (philosophy)SociologyBusinessLaw and economicsPublic relationsMarketingEconomicsPolitical scienceEpistemologySocial scienceAdvertising

Abstract

fetched live from OpenAlex

The wide application of the power resources approach has shown its strong capabilities in enabling strategic labour research that can also benefit activists. Nevertheless, the approach has been criticised for ignoring how power is used. This article argues that Steven Lukes’s radical view on power can address this issue. His three-dimensional view considers power in direct conflicts, agenda setting, and the situations in which an actor’s preferences are shaped by another. A key strength of this view is that it can be used to unravel systemic effects and underlying sources of conflicts. In this article, the Lukesian framework is applied to the condition of Australian retail workers as an example of the precariat. It is argued that retail workers have underestimated powers in direct confrontations with employers, and that the legal and institutional frameworks provide them with some support. The analysis indicates that capital’s efforts to form preferences, theoretical foundations and ways of thinking have contributed to substantially pre-empting retail workers’ agency. However, it also shows that there is nothing inevitable about this situation.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.024
GPT teacher head0.293
Teacher spread0.268 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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