Expresso Bongo and Make Me an Offer: The ‘Angry Young Musical’ in the 1950s
Bibliographic record
Abstract
Following on from John Osborne’s infamous play Look Back in Anger of 1956, London’s stage saw the emergence of the ‘Angry Young Man’, realistic portrayals of working-class men in a difficult age. Expresso Bongo and Lily White Boys , works of the mid-to-late 1950s, demonstrate that the angry young man was also present in London’s musicals, previously an upper- and middle-class genre. Featuring the Soho district, gangsters, prostitutes and rock music, this unique era of musical theatre changed expectations of what musical theatre could and would offer to a jaded urban audience. These astonishing musical theatre works offer potent commentary on British society, British identity and particularly disenfranchised young British men, and offer insights into American and British relations, gender roles and expectations, and the complicated role of working-class men in the new Elizabethan era.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".