Performed Ethnography: The Pedagogical Potential of Research-Informed Theatre
Bibliographic record
Abstract
Abstract This contribution takes as its point of departure the premise that despite recent efforts to build a more inclusive society, Canada as a nation has been founded by excluding certain groups from recognition as full citizens. This list of individuals includes the lesbian, gay, bisexual, transgender, queer or questioning, and two-spirit community. My article examines recent policy changes and pedagogical strategies which begin to redress the systemic and systematic marginalization of LGBTQ youth in high school education. In particular, I discuss the merits of using research-informed theatre to engage teachers, parents, school boards, government authorities and the wider community in debates about social justice and inclusion. The work of Tara Goldstein serves as a model for innovative research practices, applied theatre and creative pedagogy. I argue that Goldstein’s plays highlight the need for institutional change, curriculum reform and whole-school pedagogies in the struggle to achieve genuinely inclusive education.
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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 | 0.032 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| 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".