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Record W2799470177 · doi:10.1177/0896920518763936

Capitalism, Neoliberalism, and Unfree Labour

2018· article· en· W2799470177 on OpenAlexaff
Todd Gordon

Bibliographic record

VenueCritical Sociology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsNeoliberalism (international relations)CapitalismAlienationCoercion (linguistics)Context (archaeology)SociologyPolitical economyPoliticsCapital (architecture)OutsourcingPolitical scienceLaw

Abstract

fetched live from OpenAlex

The literature on the unfree character of temporary migrant labour has drawn much needed attention to the poor working conditions faced by migrant workers and opened up an important space to challenge those ubiquitous claims by defenders of the current political-economic status quo of the freedom expressed at the core of neoliberalism. However, there is a risk to focusing on legal unfreedom to the exclusion of a broader critique of the logic of capitalist reproduction, the very premise of which is the private ownership of society’s productive wealth and the alienation of the majority of people from that wealth. Unfreedom and coercion are systematic to capitalist market relations, and all wage labour, including that of formally ‘free’, is unfree. This article examines different conceptions of labour unfreedom and concludes with a discussion of unfree labour in the neoliberal context.

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)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.092
Scholarly communication0.0060.006
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.063
GPT teacher head0.455
Teacher spread0.393 · 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 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

Citations34
Published2018
Admission routes1
Has abstractyes

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