Dance harnesses humanity in exercise: perceptions of dance following an adapted dance program for people with chronic stroke
Bibliographic record
Abstract
INTRODUCTION: Perceptions of exercise are important in ensuring physical activity is translated into daily life. If dance is perceived as enjoyable exercise, promoting it may increase exercise engagement in people with stroke. OBJECTIVE: To examine perceptions of dance as exercise in people with chronic stroke after participating in an adapted dance program. MATERIALS AND METHODS: Qualitative interpretive description approach utilizing semi-structured face to face interviews with 18 people post-stroke who completed a 10-week adapted dance program. RESULTS: Three themes were identified: (1) Dance is Exercise; (2) Dance Moves Beyond Exercise; and (3) Dance Harnesses Humanity in Exercise. DISCUSSION: According to participants in this study, dance offers elements of traditional physical rehabilitation (i.e. improved balance) and creates a humanistic space where more intangible elements (i.e. liberation, personal growth) are accessed organically. These findings illuminate dance as a holistic approach to rehabilitation, as it addresses both the physical and psychosocial impacts of stroke.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".