Modern Jewish Plays. Ed. Jason Sherman. Toronto: Playwrights Canada Press, 2006.
Bibliographic record
Abstract
In his search for plays to include in his anthology, Modern Jewish Plays, editor Jason Sherman didn’t start out with a sense of how these plays would come together under a common theme. What he discovered was something quite exciting. All the playwrights share “an interest in writing politically-charged plays about a tiny piece of land in a part of the world that has been, for the last half-century, the source of so much misery for the people who live in it, and the source of much commentary from those who don’t” (363). The plays that follow feature a discussion and debate about violence, identity and responsibility that are blatantly missing from Canadian stages. Each play beautifully dramatizes the intricacies and complexities of the Israeli-Palestinian conflict without shielding the audience from its violence or offering a resolution. With the exception of Hand in Hand, all the plays share an emphasis on the overt theatricality of the stage and its capacity to blend and blur distinctions between fiction and reality. These conventions become the means by which the politics are foregrounded so that the audience is engaged and complicit with the action both onstage and in the outside world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.040 | 0.009 |
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".