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Record W4391821389 · doi:10.3390/socsci13020116

Disability Theatre as Critical Participatory Action Research: Lessons for Inclusive Research

2024· article· en· W4391821389 on OpenAlexafffund
Rachelle Hole, Leyton Schnellert

Bibliographic record

VenueSocial Sciences · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersAdministration for Community LivingVancouver Foundation
KeywordsParticipatory action researchMentorshipDisability studiesCommunity-based participatory researchAction researchIntellectual disabilityCitizen journalismEconomic JusticeInclusion (mineral)SociologyPublic relationsPsychologyPedagogyPolitical scienceMedicineMedical educationGender studies

Abstract

fetched live from OpenAlex

Informed by critical disability studies and disability justice, this article describes the reflections of two university researchers co-researching with self-advocates (individuals with intellectual disability), theatre artists, researchers, and a community living society to create social justice disability theatre as critical participatory research (CPAR), demonstrating how disability theatre can contribute to and advance inclusive research practice. Disability justice-informed theatre as CPAR has direct relevance to people with intellectual disabilities; offers a platform where self-advocates’ diverse ways to communicate and be in the world are honoured and taken up as resources to the research and community; and can generate mentorship opportunities for self-advocates to learn, practice, and develop research skills. Significances include showing how the theatre creation process (devising, developing, and refining scenes) is research in itself and how tensions are recognized as sites of possibility. Future research should explore how increasing pathways to communication, co-creation of KT strategies, and protocols for power sharing and problem solving within disability theatre as CPAR impact the roles, outcomes, and experiences of disabled and non-disabled researchers and audience members.

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)0.098
metaresearch head score (Gemma)0.065
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.098
Threshold uncertainty score0.519

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0980.065
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.002
Science and technology studies0.0260.112
Scholarly communication0.0420.039
Open science0.0060.039
Research integrity0.0110.015
Insufficient payload (model declined to judge)0.0120.002

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 head0.759
GPT teacher head0.710
Teacher spread0.048 · 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 designQualitative
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

Citations12
Published2024
Admission routes2
Has abstractyes

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