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Record W2519976089 · doi:10.1111/jar.12287

Understanding Special Olympics Experiences from the Athlete Perspectives Using Photo‐Elicitation: A Qualitative Study

2016· article· en· W2519976089 on OpenAlex
Jonathan A. Weiss, Priscilla Burnham Riosa, Suzanne Robinson, Stephanie Ryan, Ami Tint, Michelle A. Viecili, Jennifer A. MacMullin, R. Shine

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2016
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of CanadaHealth CanadaAutism Speaks
KeywordsPhoto elicitationQualitative researchPsychologyApplied psychologySociologyComputer scienceKnowledge managementSocial science

Abstract

fetched live from OpenAlex

BACKGROUND: Many individuals with intellectual disabilities experience challenges to participating in organized sport, despite its known benefits. The aim of this qualitative study was to understand the experiences of participating in sport (Special Olympics) from the perspectives of athletes with intellectual disabilities. METHODS: Five participants (13-33 years of age) took part in a photo-elicitation project during a 1-month period. RESULTS: Our thematic analysis of participant photographs and descriptions revealed the following athlete themes: 'Connectedness' and 'Training in Sport'. CONCLUSION: Photo-elicitation was a useful and important tool in assisting athlete participants to communicate their motivations to participate in sport in ways that using traditional verbal interviewing would not.

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)0.006
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.480
GPT teacher head0.479
Teacher spread0.001 · 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