"When We Dance It's Never Just Dancing...": Understanding the experiences and perspectives of adult dancers with neurodevelopmental disability.
Bibliographic record
Abstract
Dance is an activity that engages the physical, cognitive, and social dimensions of movement and health. Research in dance and disability is often focused on reducing symptoms and behaviours, rather than individual experiences. Using a constructionist lens, we explored the meaning of dance as shared through personal narratives from adult dancers who live with neurodevelopmental disability and aimed to deepen our understanding of their experiences and perspectives on instruction. Interviews were conducted with 14 dancers from across Canada and the United States. Through an iterative thematic analysis, we identified three main themes and contextualized them using the combined constraints model of motor development and embodied knowledge theory: i) dance is who I am, ii) dance provides skills for life, iii) inclusive instruction and culture that supports me as a dancer. Collectively the dancers gained a sense of direction and belonging that fueled their motivation to interact socially. We also found that through strengths-based and person-centered approaches the dancers experienced greater purpose, direction, and gained skills applicable to dance and daily 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 | 0.005 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.018 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| 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".