Bibliographic record
Abstract
With its compelling story of dead soldiers refusing to be buried as a protest against war, Irwin Shaw's 1936 experimental play Bury the Dead met with instant success on the New York stage. While it was eagerly taken up by mainstream and little theatres in the USA, it has most often been staged by radical and left-wing theatres throughout the world, including in Australia, Great Britain, India, South Africa and Canada. It resonated with audiences, and it also made waves: at an early British performance, members of the audience had to be treated for shock. Shaw drew his inspiration from the horrors of World War I and the Spanish Civil War, and the play's anti-war message and experimental style proved to be popular with Depression-era audiences fearing another world war. Its relevance has not diminished since that era, its success as a tool for moral protest and social commentary continuing to the present day, in many translations and nations. Its production, too, has been in varying forms. This article investigates the continuing attractiveness of Bury the Dead as an anti-war drama across a variety of historical, cultural, political and production contexts from 1936 to 2018, and interrogates the play's relevance for theatres in disparate times and places. In focusing on the play's Australian productions, it also provides a comprehensive production history of the work in this country.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".