Bibliographic record
Abstract
During a keynote address at the 2004 Shifting Tides: Atlantic Canadian Theatre conference, Mary Vingoe noted how, despite the fact that the population of the Atlantic region is small and that the arts are severely underfunded (making it a challenging place to work for theatre artists), Atlantic Canada arguably produces the country’s best English dramatic poets. The recently published anthology Marigraph: Gauging the Tides of Drama from New Brunswick, Nova Scotia, and Prince Edward Island clearly illustrates and supports Vingoe’s claim. This welcome collection, edited by Bruce Barton, highlights ten contemporary plays from the Maritime provinces. A number of the writers included in the anthology, such as Wendy Lill, Daniel MacIvor and Kent Stetson, are nationally and internationally recognized playwrights, while some of the others have been producing fine work for a number of years within the Maritimes despite not being nationally recognized (yet!). Each play has had at least one professional production, and it is easy to imagine its stage potential in a reading. Like Jerry Wasserman’s Modern Canadian Plays, this anthology provides educators, researchers, producers, practitioners and the general public a diverse collection of plays that, I think, read, play and teach well, in addition to enlightening the mind and spirit.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".