Hope despite hopelessness: Race, gender, and the pedagogies of drama/applied theatre as a relational ethic in neoliberal times
Bibliographic record
Abstract
In this article, we demonstrate how theatre pedagogy was mobilized, and to what effects, in one Toronto drama classroom which was strongly divided along racial lines. Using the work of Diane Reay (2012) and Tara Yosso (2005) in particular, among other theorists and social commentators, as well as data from a multi-year, multi-sited global ethnographic research project of drama classrooms, we offer two micro-encounters from our data to illustrate how drama pedagogy both reproduced and interrupted the established classroom social relations of race and gender for seven different youth, provoking them to negotiate who they are, what they know, and the world in which they live. Through these micro-encounters, we demonstrate how youth can shift the landscape of traditional learning and explore avenues where different, relational, socially embedded, and more complex intersectional (Crenshaw 1989; Collins 2015) possibilities for “having” a voice may exist.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".