The Potential Impact of Dance for Disabled Young Adults
Bibliographic record
Abstract
Research has shown that dance may greatly benefit the disabled community. Regular participation in dance classes has been shown to have a positive effect on participants mood (Barnstaple & DeSouza, 2017; Houston & McGill, 2012) while participation in community and leisure activities is linked to quality of life (QoL) measures of emotional and physical well-being in disabled populations (Badia, Orgaz, Verdugo, Ulln, & Martinez, 2013; Savage, McConnell, Emerson, & Llewellyn, 2014). A dance class designed for disabled adults was trialed with eight participants in ten classes over five weeks. This class design, rooted in a disability rights model, provides dance training as taught in a typical dance studio. Results from nine hours of video, three hours of recorded participant interviews, field notes, and research team observations indicate positive outcomes for both the participants and the class design. Participants showed increases in their dance knowledge and understanding, creativity, and social cohesion.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".