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Record W3133649735 · doi:10.26522/ssj.v15i2.2433

Representing Disability, D/deaf, and Mad Artists and Art in Journalism: Identifying Ableist Fault Lines and Promising Crip Practices of Representation

2021· article· en· W3133649735 on OpenAlexaffvenueabout
Chelsea Temple Jones, Nadine Changfoot, Kirsty Johnston

Bibliographic record

VenueStudies in Social Justice · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of British ColumbiaTrent UniversityBrock University
Fundersnot available
KeywordsThe artsRepresentation (politics)JournalismSociologyDisability studiesEconomic JusticeNarrativeRelation (database)AestheticsMedia studiesVisual artsGender studiesPolitical scienceLawArtPoliticsLiteratureComputer science

Abstract

fetched live from OpenAlex

This paper revisits the dynamic discussion about journalism’s role in representing and amplifying disability arts at the 2019 Cripping the Arts Symposium. Chronicling the dialogue of the “Representation” panel which included artists, arts and culture critics, journalists, and scholars, it reveals how arts and culture coverage contributes to the cultivation of disability, D/deaf, and mad art. Given that the relationship between journalism and disability communities continues to be fractured in Canada, speakers were invited to reflect on journalism and disability arts in relation to their own engagement with media as subjects, authors, and critics of disability arts reviews. The methods for presentation were cripped in multiple ways to provide the fullest access possible. The panel concluded with examples of ableist fault lines in representation practices where the disabled figure is an absent “ghost” in journalistic representation, warnings against journalistic reliance on traditional and objective narratives, and a call for artists to claim and write their own stories. Ultimately, disabled, D/deaf, and mad artists need both control over artistic endeavours and output and influence over representation. This article reconnects journalism and disability communities, ultimately demonstrating that representation is a critical, co-constitutive process that can become more aesthetically and politically oriented toward social justice in its focus on disability, D/deaf, and mad arts.

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)0.002
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.188
GPT teacher head0.508
Teacher spread0.321 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2021
Admission routes3
Has abstractyes

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