Benefits of recreational dance and behavior analysis for individuals with neurodevelopmental disorders: A literature review
Bibliographic record
Abstract
Abstract Dance can be an entertaining experience that offers multiple benefits for those who participate. Unlike typically developing populations, studies examining benefits of recreational dance for individuals with neurodevelopmental disorders are limited. In this review, we conducted a literature search, where “dance” was cross‐listed with all neurodevelopmental disorders across five databases, yielding 19 articles. Twelve studies involved children and youth with neurodevelopmental disorders aged 3–19 years, two studies included both adolescents and adults aged 14–22 years, and five studies included adults aged 20–65 years. Given the effectiveness of applied behavior analysis in enhancing skill development, it is encouraging that eight studies explicitly identified behavioral components. Results suggest potential benefits of recreational dance across studies using self‐report and objective measures, but limited research with sound methodology exists. There is a need for controlled research with measurable outcomes to evaluate programs tailored to these populations to improve core challenges and secondary outcomes such as quality of life.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".