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Record W2113087310 · doi:10.1080/01436591003701133

Subjects of Struggle: theatre as space of political economy

2010· article· en· W2113087310 on OpenAlexaff
Dia Da Costa

Bibliographic record

VenueThird World Quarterly · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsQueen's University
FundersWorld Bank Group
KeywordsGovernmentalityPoliticsCapitalismPower (physics)Political economySociologyCapital (architecture)ScholarshipSpace (punctuation)State (computer science)Political culturePolitical scienceLawHistory

Abstract

fetched live from OpenAlex

This article studies political theatre as a space of political economy. When conceptualising theatre as a space of political economy, it is important to maintain distinctions between three formulations of the relationship between culture and development: that capitalism is cultural, that cultural labour is a space of political economy, and that culture is capital today. While agreeing with the first two formulations, this article suggests an amendment to the third formulation, as put forward by critical scholarship on the culturalisms of neoliberal governmentality, particularly in George Yúdice's influential book The Expediency of Culture. Rather than subsume culture completely within histories of state and capital while evacuating struggle and hope, the author draws on political activism and critical play by two theatre groups in India to theorise everyday political economy as grounded in multiple histories of power, producing complex subjects of struggle.

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)0.004
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: none
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.039
Scholarly communication0.0170.009
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.011
GPT teacher head0.228
Teacher spread0.217 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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