Bibliographic record
Abstract
In October of 2008, some two dozen critics and theatre scholars met in Toronto to ascertain interest in putting together a world history of theatre criticism. It was agreed that no such work currently exists but the parameters of the work could not be clearly established. In the following article, professor and critic Don Rubin, host of the event, explains his personal and professional interest in the subject, expresses his hope for future conferences on the subject and introduces reports and papers by four of the participants. En octobre 2008, deux douzaines de critiques de théâtre et d’universitaires se sont réunis à Toronto pour affirmer leur intérêt à rédiger une histoire mondiale de la critique de théâtre. Il a été entendu qu’aucun ouvrage semblable n’existait encore, mais les paramètres d’une telle publication n’ont pas encore pu être tracés avec précision. Dans cet article, le professeur et critique Don Rubin, qui a accueilli ce colloque, témoigne de son intérêt personnel et professionnel sur le sujet, exprimant l’espoir que d’autres colloques se penchent sur la question et présentant les exposés de quatre des participants.
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 | 0.018 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.044 | 0.060 |
| Scholarly communication | 0.020 | 0.008 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.011 | 0.017 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".