Bibliographic record
Abstract
These eloquent words begin Herbert Whittaker’s account of Montreal theatre from 1920 through 1949, as detailed in his book, Setting the Stage. This text, along with two earlier books, Whittaker’s Theatre 1944—1975 and Whittaker’s Theatricals should be required reading for every drama student in the country. I firs t met Herbert - (I won’t use the diminutive “Herbie” here although it was almost universally applied by most of his friends. Whenever I would receive a message on my voice mail from him it was always: “This is Herbert give me a call when you get a chance .“And I think , if the truth were known, he preferred it ) - in the early 1970s when we formed an organization of theatre critics and writers called the Toronto Drama Bench. The arts patron, Floyd Chalmers, had given a sum of money for an endowment to encourage excellence in dramatic writing, and there needed to be some body to adjudicate the award. Herbert was then the drama critic for the Globe and Mail and I was writing for a small, left-Wing “underground” newspaper of the period called Guerilla. In chatting after the meeting, Herbert noted that he was the senior (meaning oldest) member of the organization and that I was the youngest and that therefore we should try to get along. We did that in a friendship that lasted over thirty years. During that time, (lost my status as youngest member of the organization, but some how he remained our elderst atesman.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.070 | 0.029 |
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".