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Record W2788656806 · doi:10.1352/1944-7558-123.2.164

Individual and Contextual Correlates of Frequently Involved Special Olympics Athletes

2018· article· en· W2788656806 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAmerican Journal on Intellectual and Developmental Disabilities · 2018
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsCentre for Addiction and Mental HealthOntario Tech UniversityYork University
FundersCanadian Institutes of Health Research
KeywordsAthletesPsychologyYouth sportsIntellectual disabilitySample (material)Developmental psychologyMedicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

It is important to understand factors associated with sport participation for youth with intellectual and developmental disabilities (IDD). With a sample of 414 Special Olympics (SO) athletes, this study examined how frequently involved athletes differ from other youth who are less involved in SO. Results showed that frequently involved athletes are older, have more sport-specific parental support, stronger athlete-coach relationships, and more positive SO experiences than other athletes. These factors were predictive of SO involvement, even after controlling for athlete characteristics, including behavior problems and adaptive behavior. Athletes with IDD have the potential to be highly involved in sports when external supports (i.e., coaches and parents) are strong.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.007
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.047
GPT teacher head0.307
Teacher spread0.261 · 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