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Record W3180593623 · doi:10.1080/02701367.2020.1864260

Instructors’ Perspectives of Social and Motor Influences on Participation in Children With Autism Spectrum Disorder

2021· article· en· W3180593623 on OpenAlexafffund
Danielle Salters, Patricia Rios, Sara M. Scharoun Benson

Bibliographic record

VenueResearch Quarterly for Exercise and Sport · 2021
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsUniversity of Windsor
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsViewpointsPsychologyThematic analysisAutism spectrum disorderCompetence (human resources)AutismDevelopmental psychologySocial competenceSocial skillsMotor skillQualitative researchSocial changeSocial psychologySociologyPolitical science

Abstract

fetched live from OpenAlex

Participation is key to childhood development and is essential for health and well-being; yet children with Autism Spectrum Disorder (ASD) participate less in social and physical activities compared to their typically developing peers and little is known about how social and motor challenges impact participation patterns. Purpose: The current research garnered experiential insights of the quality and quantity of participation, through the lens of instructors (N = 9) working with a child or children with ASD. Method: Semi-structured qualitative interviews were conducted to capture a comprehensive and informative profile of how social and motor functioning of children with ASD influence involvement in social and physical activities. Results: Thematic analysis revealed consistent viewpoints in four main areas: (1) Viewpoints extend beyond the World Health Organization definition of participation; (2) Participation depends on who is involved; (3) Although motivation, confidence, and competence in social/motor domains underlie participation, social challenges were perceived as the greatest barrier; (4) While acknowledging the benefits of participation, it is necessary to be cognizant of the required supports. Throughout these themes, the notion of heterogeneity was made very clear. Conclusion: Collectively, perspectives offer descriptive insight which may be useful when designing opportunities for participation in social and physical activities among children with ASD.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.030
GPT teacher head0.352
Teacher spread0.322 · 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

Citations10
Published2021
Admission routes2
Has abstractyes

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