A Checklist of Books By and About Canadian Artists in The Performing Arts / Un Répertoire de Publications Sur ou Par les Artistes Canadians Dans les Arts Scenique
Bibliographic record
Abstract
This ‘checklist' of 248 books emerged out of a casual conversation with Martha Henry, while we were working together in 1998 on a production of The Crucible for the Manitoba Theatre Centre. Martha decried the paucity of books about Canadian performing artists, while I countered that we were now producing more and more every year. People, rather than theatres or analytic studies of drama, are the main focus of the checklist. I realize, as well, that there are several doubtful titles (books on Boris Karloff, Tyrone Guthrie and Henry Miller, for example), and purely theatrical readers may chafe at the inclusion of musicians, dancers, skaters, and bandleaders, but I was interested in documenting as many entertainment personalities as possible with viable Canadian connections. A section on unpublished works-in-progress is also included. There are bound to be errors and omissions in this preliminary (and primarily English) catalogue, and I would welcome corrections and/or additions at my e-mail address:david.gardner@utoronto.ca
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.028 | 0.052 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.028 |
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".