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Record W4320019121 · doi:10.54916/rae.125086

Decolonizing Relaxed Performance: A Visual Translation of Vital Ecosystems

2022· article· en· W4320019121 on OpenAlexaff
Kimberlee Collins, Chelsea Temple Jones, Carla Rice

Bibliographic record

VenueResearch in Arts and Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of GuelphBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsColonialismSelection (genetic algorithm)Visual artsThe artsNormativeSociologyAestheticsArtPolitical scienceComputer scienceArtificial intelligenceLaw

Abstract

fetched live from OpenAlex

This essay draws on the visual translations produced by artist Sonny Bean in response to the 2022 report, Relaxed Performance: Exploring University-based Training Across Fashion, Theatre and Choir. Relaxed performance (RP) is a wide-reaching movement toward accessibility in arts that challenges normative comportment in performance contexts and has evolved into a contemporary cross-sector vital practice rooted in disability justice. Through a selection of illustrations, Bean transforms human-centric data about RPs into a vital ecosystem that extends to the more-than-human world, denoting the complex interconnectedness of RP production in a settler colonial state.

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)0.005
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.012
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.181
GPT teacher head0.475
Teacher spread0.294 · 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

Citations4
Published2022
Admission routes1
Has abstractyes

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