Haunted by <i>The Cradle Will Rock</i>History and Adaptation in Jason Sherman’s <i>It’s All True</i>
Bibliographic record
Abstract
It’s All True(1999), Jason Sherman’s play about the 1937 premiere of Marc Blitzstein’s proletarian musical The Cradle Will Rock, brings together two central elements of Sherman’s work: historically-based political theatre and adaptation. In choosing to dramatize the events leading up to the opening night of The Cradle Will Rock, Sherman stages an iconic episode in the history of American political theatre that resonates with current concerns about state funding for the arts and uses it to construct a debate about the social function of theatre today. It’s All Trueexemplifies the complex nature of adaptations: it is not only “haunted” by its numerous sources; it is also productive, giving new life to them through appropriation, most notably to The Cradle Will Rock itself. Although, due to copyright restrictions, It’s All Trueuses neither Blitzstein’s music nor his lyrics, The Cradle Will Rockis a ubiquitous presence in Sherman’s play, providing an alternative structure focusing on proletarian heroes rather than celebrities, including gender in its political analysis, and eschewing a linear narrative in favour of an exposé of the circumstances leading up to the celebrated opening night of Blitzstein’s legendary music drama.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".