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Record W2439369608 · doi:10.1525/jer.2012.7.4.20

Navigating Risks and Professional Roles: Research with Lesbian, Gay, Bisexual, Trans, and Queer Young People with Intellectual Disabilities

2012· article· en· W2439369608 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Empirical Research on Human Research Ethics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsConcordia UniversityYork UniversityUniversity of TorontoMemorial University of Newfoundland
Fundersnot available
KeywordsLesbianQueerGender studiesPsychologyHomosexualitySociologySocial psychology

Abstract

fetched live from OpenAlex

We examine ethical issues that emerged during a community-based participatory research (CBPR) study in Toronto, Canada, exploring sexual health attitudes and practices among lesbian, gay, bisexual, trans, queer, and questioning (LGBTQ) young people (ages 17-26) labeled with intellectual disabilities. These ethical concerns included: (1) managing the risk of coercion, (2) consent to participate in the study, (3) issues of confidentiality and disclosure, (4) balancing beneficence with self-determination, and (5) role conflict for researcher-practitioners who participate in CBPR projects. Incorporating critical disability perspectives and a heightened awareness of professional role conflict into CBPR practices has the potential to foster development of more inclusive and accessible sexual health initiatives and research environments.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativemedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.082
metaresearch head score (Gemma)0.029
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0820.029
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.016
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.014
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 head0.788
GPT teacher head0.679
Teacher spread0.109 · 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