Letting Bodies be Bodies: Exploring Relaxed Performance in the Canadian Performance Landscape
Bibliographic record
Abstract
There is an increasing movement toward accessibility in arts spaces, including recent legislative changes and commitments at individual, organizational, and systemic levels to integrating access into the arts across Canada. In this article, we explore Relaxed Performance (RP) in the context of this movement. We present the results of a reflexive thematic analysis of interviews conducted with participants who completed RP training offered by the British Council to . understand the training’s effectiveness and impact. We explore the significance of the training, and of RP in general, and in relation to disability studies and cultural and political activism. We undertake this exploration against a backdrop of interrogating who RP is for and by. The themes we describe are: Committed to Access, Training is Critical, Inviting Bodies to be Bodies, and Imagining Audiences. These themes tell a story of how RP relates to broader access work, the importance of training grounded in and led by disability/difference, the need to consider the relationships between bodies and spaces, and the tensions inherent to billing RP as “for all.” We conclude with an exploration of possible modifications, enhancements, or theoretical imaginings that could help RP to become more radically open to difference as it emerges, shifts, and changes.
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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 | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.046 | 0.061 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".