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Record W4281699577 · doi:10.1177/10778004221101586

<i>Romance, Relationships, and Rights</i> : Ethical Considerations and Dilemmas in a Research-Based Theater Project With Self-Advocate Co-Creators and Actors

2022· article· en· W4281699577 on OpenAlexaff
Leyton Schnellert, Leah Tidey, Rachelle Hole

Bibliographic record

VenueQualitative Inquiry · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia Hospital
Fundersnot available
KeywordsAgency (philosophy)Meaning (existential)SociologyHuman sexualityEconomic JusticeIntellectual disabilityRomancePublic relationsEngineering ethicsPsychologyGender studiesPolitical scienceLawPsychoanalysisSocial sciencePsychotherapist

Abstract

fetched live from OpenAlex

Individuals with intellectual and developmental disabilities (IDD) are often excluded from conversations about sexual health; when included, well-meaning researchers and support workers often speak for individuals instead of creating opportunities for their voices to be heard. To support the sexual agency of people with intellectual disabilities, who refer to themselves as self-advocates (SAs), we embarked on a Research-based Theater (RbT) project, Romance, Relationships, and Rights, with the goal to address misconceptions of individuals with IDD and sexuality. Throughout the project, ethical tensions percolated from ableist assumptions about “legal capacity,” consent both on and off stage, and conflicting perspectives on aesthetics. Throughout this article, we discuss these ethical dilemmas and offer recommendations for future work with SAs in co-creating RbT through the lens of disability justice and critical disability studies.

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)0.086
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.914
Threshold uncertainty score0.454

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0860.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0450.094
Scholarly communication0.0260.016
Open science0.0050.029
Research integrity0.0080.013
Insufficient payload (model declined to judge)0.0070.002

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 head0.362
GPT teacher head0.526
Teacher spread0.165 · 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.

Study designQualitative
DomainMethods
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

Citations6
Published2022
Admission routes1
Has abstractyes

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