MétaCan
Menu
Back to cohort
Record W624678060

Dancing with Autism Spectrum Disorder: A Mixed Methods Investigation

2015· article· en· W624678060 on OpenAlexaffabout
Nicole Reinders

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2015
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsAutism spectrum disorderAppendixPsychologyAutismDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

Autism spectrum disorder (ASD) is the most commonly diagnosed neurological disorder in children today, affecting an estimated 1 in 150 to 1 in 160 children in Canada (Health Canada, 2013). Children with ASD have reduced communication skills as well as restrictive and repetitive behaviours and interests (APA, 2014). Unfortunately there are few recreational activities available for the autistic population. Past research has shown dance/movement therapy to be beneficial for children on the spectrum, but there is a dearth of literature regarding recreational dance. Dance is a form of physical activity that fosters skill development, provides social opportunities, and can be made accessible for all people. The purpose of this research was to explore the experiences of children with ASD as they participated in recreational dance. This study had two parts, a qualitative component to capture the lived experiences of children with ASD through the perspective of their caregivers, dance instructors, and volunteers; and a quantitative component to measure physical skill development in children with ASD over time.\nThe participants were as follows: four children with ASD (two sisters), three caregivers, three dance instructors, and three dance volunteers. One child, caregiver, instructor and volunteer were recruited from Studio 2, and the rest were recruited from studio 1. Caregivers, instructors, and volunteers completed a background questionnaire and one-on-one semi-structured interview. Interviews were transcribed verbatim, supplemented with the researcher’s field notes, and then sent back to the participants in the form of a member check. Two salient themes emerged upon analysis of the qualitative data, which were creating dance programs for all abilities and what it means to be a dancer. All participants felt that these two programs were beneficial, not only for the children with ASD, but also the caregivers, instructors, and volunteers.\nEach participant with ASD completed a battery of motor tests (for balance, endurance, locomotion, flexibility, and body awareness) at four points in time over a five month period. While the participants discussed many benefits in the qualitative component, there were few trends towards improvement in the quantitative component. This is most likely because the motor tests were designed for the neurotypical population and did not account for the high level of variability in ASD. Due to the variability of ASD symptoms in the children of this study, the quantitative results were analysed per case.\nThis research project has shown that participants benefitted from participating in a recreational dance program based on the perspectives of their caregivers, instructors, and volunteers. Future research should work towards finding sound testing measures for children with ASD. Additionally, further research regarding children and adolescents with ASD and other disabilities is warranted.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.001
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 head0.040
GPT teacher head0.285
Teacher spread0.245 · 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.

Study designTheoretical or conceptual
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

Citations3
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueScholars Commons (Wilfrid Laurier University)Same topicAutism Spectrum Disorder ResearchFrench-language works237,207