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Record W2334588713 · doi:10.1017/s0307883314000030

Performing Visions of Governmentality: Care and Capital in <i>100% Vancouver</i>

2014· article· en· W2334588713 on OpenAlexfundaboutno aff
Keren Zaiontz

Bibliographic record

VenueTheatre Research International · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
FundersCanada Council for the ArtsAustralian GovernmentUniversity of Chicago
KeywordsVisionGovernmentalityCapitalismCapital (architecture)Redistribution (election)Welfare capitalismSociologyPolitical scienceEconomyEconomic historyPolitical economyPublic administrationWelfare stateEconomicsLawArtVisual arts

Abstract

fetched live from OpenAlex

100% Vancouver was created by Rimini Protokoll and produced in 2011 by Theatre Replacement as part of the PuSh Festival. One hundred Vancouver residents performed a statistical portrait of the city based on Canada's 2006 mandatory long-form census. In this article, I set out to understand how a show that felt so local is part of a global project and a transposable dramaturgy that is designed to be tented anywhere. I explore this seeming paradox in 100% Vancouver because it self-consciously shared the stage with a corporate sponsor connected to the globalizing force of finance capitalism. I propose that this transparent redistribution of artistic capital to corporations that deal in finance capital is not a capitulation to the market. Rather, it is a social relationship with the market. 100% Vancouver demonstrates how contemporary citizen-led performance is a battleground for declining and dominant visions of governmentality that range from welfare government to finance capitalism.

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)0.001
metaresearch head score (Gemma)0.002
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.598

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.018
Scholarly communication0.0090.001
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.038
GPT teacher head0.321
Teacher spread0.283 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

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