Between Biblical Tradition and Contemporary Audiences: Jewish Theatre Practice in Toronto
Bibliographic record
Abstract
Joel Benabu and Barry Freeman in conversation with four Toronto-based Jewish Canadian theatre playwrights and producers: Esther Arbeid (Theatre/Film Programmer at the Miles Nadal Jewish Community Centre), Hannah Moscovitch (Playwright), Avery Saltzman (Co-Artistic Director of the Harold Green Jewish Theatre Company), and Julie Tepperman (Playwright, Actor, and Co-Artistic Director of Convergence Theatre). Topics discussed include Jewish sub-communities in Toronto, audiences to Jewish plays, the challenge of producing politically or artistically provocative work, and the relationship between Jewish ritual and performance traditions. The article is an edited version of a two-hour conversation held at the Miles Nadal Jewish Community Centre in Toronto, 23 December 2011.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.011 |
| Science and technology studies | 0.023 | 0.019 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".