Bibliographic record
Abstract
Tony Nardi and I recently met to discuss his second play, A Modo Suo (A Fable), written in an Italianized Calabrian dialect and published here for the first time in an English translation by Antonino Mazza. The play was first staged at Canadian Stage Company’s Theatre Upstairs on Berkeley in April and May of 1990. It was produced independently by Tony, actor Mary Long and me and co-directed by Tony and Italian commedia master Alberto Fortuzzi. It featured Tony in the central role of Raffaele; Mary Long; Frank Crudele; Dom Fiore; Lucy Filippone; and me as Linda, the daughter. While A Modo Suo (A Fable) secured substantial funding from both government and private sources, was the subject of over twenty articles and reviews and received a Dora Mavor Moore Award nomination for Best New Play in the Small Theatre Division, from a historical point of view the production is important because it provided a focus for a number of questions about the production, reception and critical evaluation of plays written in a language other than English or French that are as relevant today as they were a decade ago. The mere fact that the play was performed in Calabrese by a group of professional Equity actors in an English-language mainstream theatre in downtown Toronto rather than in a local Italian church basement by amateurs caused a stir among the English and Italian media.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.010 |
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".