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Record W2743289463

Art Administration as Performative Practice / Organizing Art as Institutional Critique

2015· dissertation· en· W2743289463 on OpenAlexaboutno aff
Jennifer Snider

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsPerformative utteranceThe artsContext (archaeology)InstitutionVisual artsArtPerformance studiesPresentation (obstetrics)Embodied cognitionGestureMediationAdministration (probate law)Contemporary artSociologyArt methodologyAestheticsPerformance artPolitical scienceArt historyHistoryEpistemologySocial scienceLinguisticsMedicinePhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

A propositional rethinking of art administration within the artist-run institution, this thesis contributes new conceptualizations of operations of the artist-run centre in Canada. The suggestion is that art administration practiced therein is a specialized embodied expression of the institution as apparatus. Proposing that the Canadian artist- run context is a form of and forum for institutional critique, this analysis argues that the art administrator is a unique practice of mediation in art called “diagnostic organizing;” a negotiative role gesturing toward performative relationships to protocol. Recontextualizing art administration as embodying the interface between art and policy, this study also names “performing the context” as an experimental and critical approach to arts facilitation. The work of artist Andrea Fraser is investigated for her writing and practices of institutional critique, as is the arts presentation project Kunstverein Toronto where Co-Director’s Kari Cwynar and Kara Hamilton’s performative language and gestures communicate their facilitative practices.

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)0.009
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.328
Threshold uncertainty score0.651

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0180.131
Scholarly communication0.0270.009
Open science0.0020.007
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.093
GPT teacher head0.397
Teacher spread0.304 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2015
Admission routes1
Has abstractyes

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