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Record W4391946145 · doi:10.1386/aps_00079_1

Class matters: Dialogue and dialogics in the work of Condé and Beveridge

2022· article· en· W4391946145 on OpenAlexaff
Scott Marsden

Bibliographic record

VenueArt & the Public Sphere · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsIdeologySociologyCitizen journalismCapitalismWorking classNarrativeNeoliberalism (international relations)LiberalismContemporary artAestheticsGender studiesPolitical sciencePolitical economyArtArt historyLawPoliticsPerformance artLiterature

Abstract

fetched live from OpenAlex

This article explores curatorial projects that give voice to working-class communities that have been disfranchised by the ideology of neo-liberalism. Defining contemporary art galleries as public spheres, curatorial projects that are based in dialogue and dialogics reveal the conflicting and contradictory aspects of dominant cultural narratives. Through collaborative and participatory methods, progressive artists co-create artworks with working-class communities, creating alternatives to the traditional gallery system in which artists, artworks, audiences and institutions are abstracted from the world around them. With a focus on the work of artists Carole Condé and Karl Beveridge, and their collaborations with individuals representing various communities – labour organizations, activist groups, cultural groups and the art world – insurgent curating is defined in terms of dialogue-based activism. Dialogue-based projects are championed as ways to catalyse emancipatory insights and the critique of neo-liberal 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)0.015
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0340.061
Scholarly communication0.0210.015
Open science0.0030.015
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0070.001

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 head0.029
GPT teacher head0.202
Teacher spread0.173 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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