Bibliographic record
Abstract
Slings & Arrows , starring Susan Coyne, Paul Gross, Don McKellar, and Mark McKinney as members of the New Burbage Theatre Festival, was heralded by television critics as one of the best shows ever produced and one of the finest depictions of life in classical theatre. Shakespeare scholars, however, have been ambivalent about the series, at times even hostile. In Shakespeare and the World of “Slings & Arrows” Gary Kuchar situates the three-season series in its cultural and intellectual contexts. More than a roman à clef about Canada’s Stratford Festival, he shows, it is a privileged window onto major debates within Shakespeare studies and a drama that raises vital questions about the role of the arts in society. Kuchar reads the television show – ever fluctuating between faith and doubt in the power of drama – as an allegory of Peter Brook’s widely renowned account of modern theatre, The Empty Space, mirroring Brook’s distinction between holy theatre, a quasi-sacred vocation, and deadly theatre, a momentary entertainment. Combining contextualized interpretations of the series with subtle formalist readings, Kuchar explains how Slings & Arrows participates in a broader recuperation of humanist approaches to Shakespeare in contemporary scholarship. The result is a demonstration of how and why Shakespeare continues to provide not just entertainment, but equipment for living.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".