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Record W4408639447 · doi:10.1111/jar.70032

Fostering Healthy Relationships in Special Olympic Athletes: Supporting the Intersection of Intellectual Disability and Sexual Health

2025· article· en· W4408639447 on OpenAlexaff
Stephanie Andreasen, Brennah Kamelchuk, Victoria Formusa, Brock Reissner, Stephanie J. Howe, Janet McCabe, Alan Santinele Martino, Carly A. McMorris

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsUniversity of British Columbia, Okanagan CampusUniversity of British ColumbiaAlberta Children's HospitalOntario Tech UniversityUniversity of Calgary
Fundersnot available
KeywordsAthletesReproductive healthIntellectual disabilityThematic analysisHuman sexualityPsychologyMedicineClinical psychologyQualitative researchPsychiatryPopulationEnvironmental healthPhysical therapyGender studiesSociology

Abstract

fetched live from OpenAlex

BACKGROUND: People with intellectual disabilities have equal rights to explore their sexuality and access sexual and reproductive healthcare, yet little is known about their needs and wants when accessing health education. The current study sought to learn about the sexual health interests, attitudes, and educational needs of Special Olympics (SO) athletes. METHODS: Thirteen participants completed a questionnaire and a 45-min interview, including SO athletes, coaches and caregivers of SO athletes. RESULTS: Survey responses indicated the importance of access to sexual health education, but significant barriers were noted. Thematic analysis of interview transcripts highlighted the importance of healthy relationships, inequalities in learning, and need for information to promote safety. CONCLUSIONS: Findings add to existing evidence that people with intellectual disabilities value healthy relationships and want to learn more about sexual health. Several recommendations are offered to increase the effectiveness of sexual health education.

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)0.016
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.229
GPT teacher head0.457
Teacher spread0.227 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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