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Record W3004508291 · doi:10.1386/eta_00017_1

Rippling excesses: A/r/tography becoming dis/a/r/tography

2020· article· en· W3004508291 on OpenAlexaff
Leslie G. Roman, Rena del Pieve Gobbi, Jonas-Sébastien Beaudry, Persimmon Blackbridge

Bibliographic record

VenueInternational Journal of Education through Art · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsMcGill UniversityUniversity of British Columbia
Fundersnot available
KeywordsThe artsSociologyAestheticsSociocultural evolutionAgency (philosophy)EpistemologyVisual artsArtPhilosophySocial scienceAnthropology

Abstract

fetched live from OpenAlex

Abstract How do disability arts (dis/arts) and culture rupture and transform conventional artistic and a/r/tographic practices? We show how disability arts and culture involves a multiplicity of voices unfolding, recursing, rippling and reflexively performing public pedagogy to make the Wingspan retreat of artists and scholars. We revisit both Hofstadter's formalistic and ahistorical conception of recursion and Irwin's a/r/tography to ask how artistic practices and genres reflexively transform. Our research foregrounds disability collectivity without forsaking individuality, fragilities, strengths, differences of disability that require accommodation and communication beyond the binaries of ability/disability, and, purported 'normalcy' and 'irregularity'. This article artistically and intellectually plays both with the unfolding of a/r/tography as recursive processes often in tension and contention with discourses of 'ability' and 'normalcy' that so bind who counts as valued human beings (or not) and whose semiotic excesses matter. Recursive transformations may become larger sociocultural movements of disability politics and collectives with history, agency and polyvocality. To respect such differences and yet exceed them in the span of wings is the provisional and mighty task of the disability arts, culture and public pedagogical movement.

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)0.000
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 score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.075
GPT teacher head0.374
Teacher spread0.299 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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