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Record W1705661796 · doi:10.26522/ssj.v8i2.1033

Domesticating Social Justice Activism in the Global Era? The Process of Reconfiguring the Czech Social Justice Movement in Times of Crisis

2014· article· en· W1705661796 on OpenAlexvenueno aff
Jiří Navrátil

Bibliographic record

VenueStudies in Social Justice · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsnot available
FundersGrantová Agentura České Republiky
KeywordsAusterityPolitical economySocial movementPoliticsPolitical scienceCapitalismIdeologyFinancial crisisGrievanceEconomic JusticeSociologyEconomic systemEconomicsLaw

Abstract

fetched live from OpenAlex

The contemporary economic crisis is sometimes labeled as the greatest crisis of capitalism since the Great Depression. Therefore one might expect it to become a perfect mobilizing grievance for the transnational social justice movement, which used to target the ideology of neoliberal governance and social consequences of unrestricted global financial markets. However, the current responses to the crisis and consequent austerity policies have remained mostly embedded at the national or even local level. The symbols of this struggle—Los Indignados and the Occupy movement—have focused on targeting national political issues rather than on organizing transnational coalitions and international protest events, while paying little attention to the role of global institutions and corporations. This article focuses on the case of Czech Republic and traces two broad processes—scale shift and identity shift— that led to a broader change in the meta-logic of social justice mobilization. These processes and their constituent mechanisms have transformed the globally-focused and weakly-integrated movement into dense and nationally embedded coalitions that have started to target the national consequences of neoliberal governance instead of its global political foundations.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.021
Scholarly communication0.0140.009
Open science0.0010.015
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.056
GPT teacher head0.427
Teacher spread0.371 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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