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Record W2543142254 · doi:10.16926/par.2016.04.05

Sport and physical activity: Facilitating interventions with young people living with an autism spectrum disorder

2016· article· en· W2543142254 on OpenAlexaff
Marie-Michèle Duquette, Hélène Carbonneau, Romain Roult, Laurence Crevier

Bibliographic record

VenuePhysical Activity Review · 2016
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsAutism spectrum disorderPsychological interventionPsychologyPhysical activityAutismDevelopmental psychologyGerontologyPhysical medicine and rehabilitationMedicinePsychiatry

Abstract

fetched live from OpenAlex

Young people living with an autism spectrum disorder (ASD) have less access to sports and physicalactivity. Even when they do, the instructors do not always have the training to include them adequately.This study aimed to identify barriers that young people with ASD may face and strategies to overcomethese barriers. In order to meet the objectives of the study, semi-structured interviews were conductedwith young people, parents, and caregivers. Then, a qualitative analysis of the interviews has allowedthe identification of three types of barriers: related to ASD, related to the physical and socialenvironments, and related to the physical activity itself. Three categories of coping strategies have alsobeen identified by the participants. In order to help reduce the barriers, one should focus on the socialenvironment, the activity, and communication strategies. This study confirms previous research andshows that there are effective ways to intervene with young people living with ASD in order to optimizetheir integration in sports and physical activity and that it can be done with little resources.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.931
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.315
Teacher spread0.292 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations40
Published2016
Admission routes1
Has abstractyes

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