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Record W2900519140 · doi:10.1177/0020715218810769

The community strike: From precarity to militant organizing

2018· article· en· W2900519140 on OpenAlexvenueno aff
Marcel Paret

Bibliographic record

VenueInternational Journal of Comparative Sociology · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
FundersUniversity of Johannesburg
KeywordsPrecarityMilitantPower (physics)EthnographySociologyState (computer science)Public spaceWork (physics)Human settlementPolitical scienceGender studiesPolitical economyLawGeographyPoliticsEngineering

Abstract

fetched live from OpenAlex

How do insecure layers of the working class resist when they lack access to power and organization at the workplace? The community strike represents one possible approach. Whereas traditional workplace strikes target employers and exercise power by withholding labor, community strikes focus on the sphere of reproduction, target the state, and build power through moral appeals and disruptions of public space. Drawing on ethnography and interviews in the impoverished Black townships and informal settlements around Johannesburg, I illustrate this approach by examining widespread local protests in South Africa. Insecurely employed and unemployed residents implemented community strikes by demanding public services, barricading roads and destroying property, and boycotting activities such as work and school. Within these local revolts, community represented both a site of struggle and a collective actor. While community strikes enabled economically insecure groups to mobilize and make demands, they also confronted significant limits, including tensions between protesters and workers.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.743

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 studies0.0010.001
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 head0.079
GPT teacher head0.418
Teacher spread0.339 · 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 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

Citations14
Published2018
Admission routes1
Has abstractyes

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