Bibliographic record
Abstract
Shakespeare in Canada is the result of a collective desire to explore the role that Shakespeare has played in Canada over the past two hundred years, but also to comprehend the way our country’s culture has influenced our interpretation of his literary career and heritage. What function does Shakespeare serve in Canada today? How has he been reconfigured in different ways for particular Canadian contexts? The authors of this book attempt to answer these questions while imagining what the future might hold for William Shakespeare in Canada. Covering the Stratford Festival, the cult CBC television program Slings and Arrows, major Canadian critics such as Northrop Frye and Marshall McLuhan, the influential acting teacher Neil Freiman, the rise of Québécois and First Nation approaches to Shakespeare, and Shakespeare’s place in secondary schools today, this collection reflects the diversity and energy of Shakespeare’s afterlife in Canada. Collectively, the authors suggest that Shakespeare continues to offer Canadians “remembrance of ourselves.” This is a refreshingly original and impressive contribution to Shakespeare studies—a considerable achievement in any work on the history of one of the central figures in the western literary canon.
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 | 0.002 |
| Science and technology studies | 0.021 | 0.014 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.011 | 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".