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Record W7130316067 · doi:10.7202/1123399ar

Cognitive Accessibility, Ethics, and Rights in Research

2025· article· en· W7130316067 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePerformance Matters · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsnot available
Fundersnot available
KeywordsLearning disabilityAutismThe artsSet (abstract data type)Order (exchange)Self-advocacyCognition

Abstract

fetched live from OpenAlex

This paper is about doing research with artists with learning disabilities and autism. Artists with learning disabilities or autism need to say yes to doing research. Researchers need to explain what will happen in the research. Often, researchers think that people with learning disabilities and autism can’t say yes to being part of research. This means researchers don’t study things that are important to people with learning disabilities and autism. So, people with learning disabilities and autism don’t get a voice. All the people who wrote this work on I’m Me. I’m Me was a research project that works with seven learning disability arts companies in the United Kingdom. We used drama, dance, music and art to understand identity, representation, and voice. This paper explores our approach to ethics on the project. We wanted to avoid what we describe as a “deficit model” of ethics. Instead we worked with learning disabled artists and researchers to develop a set of rights in research. How these rights were communicated was very important in order to ensure access and understanding. I’m Me used a range of methods, including illustrations, workshops, videos, and movement. As a result of this approach, we found artists started independently talking about their rights in research. Plain text abstract (adapted by Kelsie Acton with Daniel Foulds) This paper is about doing research with artists with learning disabilities and autism. Artists with learning disabilities or autism need to say yes to doing research. So researchers need to explain what will happen in the research. Often, researchers think that people with learning disabilities and autism can’t say yes to being part of research. This means researchers don’t study things that are important to people with learning disabilities and autism. So, people with learning disabilities and autism don’t get a voice. All the people who wrote this work on I’m Me. I’m Me was a research project that works with seven learning disability arts companies in the United Kingdom. We used drama, dance, music and art to understand identity, representation, and voice. We wanted to make sure the artists could decide if they wanted to be a part of the research. To do this we assumed that people with learning disabilities and autism can be a part of research, assumed that people with learning disabilities and autism have rights in research, and did not assume that people with learning disabilities and autism need to be protected. Practically, we used plain language, pictures, We found: Making sure artists knew their rights took time. We needed to talk about artists’ rights several times. But artists understood their rights better when they talked about them more. Giving artists credit for their work is important. But making sure that people reading research don’t know who the research is about is also important. We found it hard to explain when artists’ names would and wouldn’t be used. We needed to experiment to find the best way. Learning how to give people with learning disabilities and autism the information they need to decide if they want to be part of research is important.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.623
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.223
GPT teacher head0.457
Teacher spread0.234 · 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