Research-based theatre across disciplines: A relational approach to inquiry
Bibliographic record
Abstract
Research-based theatre (RbT) is an innovative research methodology that draws on theatre practices and conventions to engage in and share research. It is an inherently collaborative and relational methodology, inviting research participants, artists and researchers to take part in embodied data generation, analysis and knowledge-exchange activities. This methodology encompasses writing, rehearsing and performing a research-based monologue, scene or play. In this article, the authors share three recent examples from interdisciplinary projects where researchers and artists engaged with different communities to dramatize data using an RbT methodological approach. To add to literature in the field, the authors consider their experiences leading RbT projects in three disparate fields: theatrical, social and therapeutic. The authors explore the question of how RbT transforms relationships and how relationships transform RbT.
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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 | 0.045 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.010 | 0.058 |
| Scholarly communication | 0.027 | 0.025 |
| Open science | 0.005 | 0.022 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".