<i>May I have this dance?</i> Teaching, Performing, and Transforming in a University-Community Mixed-Ability Dance Theatre Project
Bibliographic record
Abstract
Combining disability and dance may not be new, yet enacting inclusive dance/drama education in a university remains rare. This article reflects on the integration of people with developmental disabilities in dance theatre, particularly in institutions of higher education, and shares insights that emerged in the context of an inclusive dance-theatre project. Over two years, the project progressed from a community-based art for social change partnership, to a post-secondary drama course, to a large-scale, university-produced theatrical production. Drawing on qualitative, embodied, and quantitative data the authors critically reflect on the potential for integrated dance theatre work to contribute to training future professional artists with disabilities, to enrich curriculum for students without disabilities, to inform theory and practice in the field of art for social change, and to positively affect the perceptions and experiences of people living with disabilities.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.013 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".