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Record W4414608792 · doi:10.15273/hpj.v4i3.11983

“It’s Such an Inclusive and Welcoming Environment”: Caregiver Perspectives of a Play-Based Program for Autistic Children and Youth

2024· article· en· W4414608792 on OpenAlexaff
Sofia J. So, Son Truong, Kimberley Woodford, Sarah Moore

Bibliographic record

VenueHealthy Populations Journal · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsRespite carePsychosocialThematic analysisService providerQualitative researchAutismProgram evaluation

Abstract

fetched live from OpenAlex

Introduction: Play-based programs provide therapeutic benefits to children and youth with disabilities and their caregivers. However, there is limited literature regarding the effects of these programs on the physical and psychosocial outcomes for autistic children andyouth. Objective: This program evaluation examined the perspectives of caregivers of autistic children and youth ages 6–18 years in a play-based program in Nova Scotia. Methods: A qualitative case evaluation design was employed, with 10 caregivers completing semi-structured interviews. Interviews were conducted virtually using Microsoft Teams and were each approximately 60 minutes in length. Interview data were transcribed verbatim and transferred to NVivo. Data were analyzed using reflexive thematic analysis. Results: Three themes were generated: (a) Play (in Their Own Way) is Beneficial, (b) An Important Respite for Families, and (c) A Lot Can Get in the Way of Participation. Findings illustrated that caregivers perceived the program as beneficial for their child’s physical and psychosocial development skills. They also highlighted the need for family respite time to rest and recharge. Caregivers noted that there are relatively few inclusive programs specifically for autistic children, and that lack of transportation and high costs can reduce accessibility of programs. Conclusion: Play-based programs have notable caregiver-perceived benefits for autistic children and youth, but there may be barriers to participation as well. Findings of this program evaluation may help knowledge users and service providers address program barriers and inform programming moving forward.

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)0.000
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 score0.377
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.070
GPT teacher head0.429
Teacher spread0.359 · 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
Published2024
Admission routes1
Has abstractyes

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