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Record W2910797793 · doi:10.1108/aam-11-2018-0015

India’s Kochi Biennale: sponsorship, patronage, and art’s resistance

2019· article· en· W2910797793 on OpenAlexaff
Annamma Joy, Russell W. Belk

Bibliographic record

VenueArts and the Market · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsYork UniversityUniversity of British Columbia
Fundersnot available
KeywordsOriginalityContext (archaeology)Government (linguistics)PoliticsResistance (ecology)SociologyValue (mathematics)Contemporary artSocial sciencePolitical scienceArtHistoryArt historyLawArchaeologyMathematicsQualitative researchPerformance art

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the meaning, in both local and international context, of the Kochi-Muziris Biennale (KMB), the first international exhibit of contemporary art in India. Kochi Biennale Foundation (KBF), which administers the KMB, identifies art as a means for transforming society, with a mission to bring global contemporary art to India and to present India’s modern art to the world. The authors further investigate the role of government sponsorship and corporate patronage in funding the KMB, and investigate how resistance through art is key to the KMB’s identity. Design/methodology/approach This study focuses primarily on published materials relating to the KMB. One of the authors attended the 2016 KMB and interviewed fellow attendees. Additionally, the authors reviewed and assessed social media postings regarding the 2016 KMB. Findings The authors argue that government sponsorship and corporate patronage are never solely about political or financial power. Rather, a generalized reciprocity among the three entities – corporations, the government and the artists – allows the KMB to flourish. For the artists involved, the KMB, co-founded by activist artists, sustains interest in and awareness of resistance. Originality/value Extant literature on biennales is sparse on ways in which these exhibits extend their impact beyond the art world. The authors examine issues such as India expanding its position on the world stage through art, and the implications of political resistance embraced by Indian artists on future directions for the KMB, that have heretofore been unaddressed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.173
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.232
Teacher spread0.218 · 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.

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
Published2019
Admission routes1
Has abstractyes

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