Bibliographic record
Abstract
Abstract Tell It to the World: The Broadway Musical Abroad studies how the Broadway musical has traveled the world, influencing and transforming local idioms and traditions. It focuses on the ways the musical has been indigenized in South Korea and Germany, two nations occupied by the United States after World War II that have become key commercial centers for Broadway musicals. By the 1990s, Broadway imports were all the rage in both, while home-grown musicals transformed the US prototypes. Part I of the book considers the fundamental questions: What is a musical? Why is it the great success story of US theatre? How has it been assimilated to musical theatre traditions around the world? Part II focuses on musical theatre in South Korea, studying the import/export business in large-scale musicals about Korean history and innovative experiments that mix local performance traditions with the Broadway style. Part III moves to Germany to survey the history of musicals from 1945 until the fall of the Berlin Wall, the reconfiguration of musical theatre conventions by experimental directors, and the groundbreaking German-language productions of Broadway classics by Barrie Kosky and other innovative directors.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.017 |
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".