‘Home away from home’: Examining the lived experiences of a child with ASD in a recreational dance setting
Bibliographic record
Abstract
Autism Spectrum Disorder (ASD) is a lifelong condition characterized by restrictive, repetitive patterns of behaviour, and impairments in social communication. Various forms of physical activity, including dance, have shown to improve ASD symptoms among children. The study’s purpose was twofold: to examine the lived experiences of a family with a child with ASD, in order to examine family functioning and the effects of the child’s participation in a dance programme. The family unit and dance instructor participated in one-on-one semi-structured interviews, which included a myriad of questions about the family, and the child’s participation in a recreational dance programme. One salient main theme that emerged was Dance, Dance, Dance, with three subthemes: (1) ‘Home Away from Home’ (studio as a representation of home), (2) Growing as a Person (physically, emotionally,socially), and (3) Lessons Learned (bidirectional learning between student and teacher). Dance provided many benefits to the child, including improvements in social and listening skills, as well as confidence. Further, dance allowed the child to grow socially and personally. This study may act as a support for other families faced with an ASD diagnosis, as well as highlight the benefits of recreational dance programmes for children with ASD.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".