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Record W3083263317 · doi:10.1002/bin.1745

Benefits of recreational dance and behavior analysis for individuals with neurodevelopmental disorders: A literature review

2020· review· en· W3083263317 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBehavioral Interventions · 2020
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsBrock University
FundersBrock University
KeywordsDanceRecreationPsychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

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.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.878
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.001
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 head0.098
GPT teacher head0.404
Teacher spread0.306 · 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