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Record W2414564687 · doi:10.15173/glj.v7i2.2481

Politics of Solidarity and Agency in an Age of Precarity

2016· article· en· W2414564687 on OpenAlexvenueno aff
Marcel Paret

Bibliographic record

VenueGlobal Labour Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPrecaritySolidarityPoliticsSociologyWorking classGender studiesAgency (philosophy)Political scienceCharterPolitical economySocial scienceLaw

Abstract

fetched live from OpenAlex

This article critically examines Guy Standing’s A Precariat Charter by posing three questions: 1) What is the significance of the North/South divide for the global spread of the precariat? 2) Is the precariat an agent of transformation, or simply a passive recipient? 3) How should we understand the fragmentation of the working class and its implications for progressive change? In addressing these questions, I argue that Standing’s analysis offers useful insights into the current era of insecurity. But it downplays important variations in forms of precarity, and also over-emphasises fragmentation and weakness. The limits of this approach are illustrated through two empirical examples drawn from Johannesburg, South Africa, and Oakland, United States. Taken together, these examples point towards a broader and more fluid understanding of the “working class”. They also underscore possibilities for working-class solidarity, both between stable workers and their more precarious counterparts, and between different groups that Standing identifies as the precariat.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.057
Scholarly communication0.0080.007
Open science0.0010.010
Research integrity0.0030.005
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 head0.020
GPT teacher head0.322
Teacher spread0.302 · 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 designQualitative
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

Citations30
Published2016
Admission routes1
Has abstractyes

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