Roma Refugee Youth and Applied Theatre: Imagining a future vernacular
Bibliographic record
Abstract
This paper examines an experiment in theatre-making with a group of Roma refugee youth currently living in Toronto, Canada. A drama academic, a professional theatre director, an Executive Director of a Roma Community \nCentre, two Hungarian translators and nine Roma youth worked together to cross language and cultural borders in order to place theatre-making in a broader socio-political arena. Their primary goal was to awaken public officials, and a general public, to a better understanding of the youth’s experiences of ‘home’ and migration in order to garner support for their claims for refugee status. Using cultural geography, community-engaged public pedagogy and feminist science as different disciplinary lenses and theoretical frames through which to make sense of the tensions of such collaborative theatre projects, the author positions the work as a ‘theatre of little changes’ (Balfour 2009) ultimately worth engaging in.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 teacher head, 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".