Bibliographic record
Abstract
Nightwood is the pre-eminent women’s theatre company in Canada. Over the years, the company has presented itself as a producer of new works by Canadian women, as a provider of opportunities for women theatre artists, as an inclusive theatre company committed to producing work by women of colour and as the “home company” for some of the biggest names in Canadian theatre. Ann-Marie MacDonald is probably the best example of a “big name,” since her 1988, Chalmers- and Governor General’s Award—winning comedy Goodnight Desdemona (Good Morning Juliet) is one of the most frequently produced of all Canadian plays. But I would argue, in fact, that almost every woman playwright in the country has had some connection with Nightwood, whether through its Groundswell festival of new work, its sponsorship of the annual Five Minute Feminist Cabaret or its playwright-in-residence and various play development programs. Since Nightwood’s inception in 1979, the company has produced both collective creations and plays by single authors, mounted tours, collaborated with other companies and sought out many ways to encourage new work by women. Because of its unique status as a women’s theatre company spanning the period from 1979 to the present, Nightwood can be examined as something of a microcosm for developments in feminist theatre and the production of women’s work.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".