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Record W4389516605 · doi:10.5507/euj.2023.003

Early motor skill interventions for children with autism; secondary effects on parents and families

2023· article· en· W4389516605 on OpenAlexaff
Leanne K. Elliott, Jonathan A. Weiss, Meghann Lloyd

Bibliographic record

VenueEuropean Journal of Adapted Physical Activity · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsYork UniversityOntario Tech University
Fundersnot available
KeywordsAutismPsychological interventionMotor skillDevelopmental psychologyPsychologyPhysical medicine and rehabilitationMedicinePsychiatry

Abstract

fetched live from OpenAlex

Motor skill interventions can improve the motor proficiency of children with autism, however, the secondary effects associated with these interventions are not well understood. The aim of this study is to describe 1) parents’ experiences with an early motor skill intervention for their children with autism, and 2) the secondary effects of the intervention on parents and families. Parents (n = 8) of four-year-old children with autism who participated in a 12-week motor skill intervention were invited to take part in a semi-structured interview to discuss their experiences. The study was grounded in descriptive phenomenology. Three themes emerged from the data. Theme 1: Parent Attendance - observing the motor skill intervention was essential in order for parents to benefit from the experience themselves (e.g., socializing with the other parents), Theme 2: Eye-Opening Experience - the intervention shed light on the children’s capabilities and the importance of motor skill development, Theme 3: Positive Experience - parents expressed a desire for more opportunities like this within the community. These findings indicate that early motor skill interventions for children with autism can also benefit parents and families. In order to better meet the needs of families of children with autism, clinicians should educate parents on the importance of motor skill development early, and highlight opportunities for active engagement at home and in the community.

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 score0.985
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.019
GPT teacher head0.276
Teacher spread0.257 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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