Bibliographic record
Abstract
Hungarian-born composer Sigmund Romberg (1887-1951) arrived in America in 1909 and within eight years had achieved his first hit musical on Broadway. This early success was soon followed by others and in the 1920s his popularity in musical theatre was unsurpassed. In this book, William Everett offers the first detailed study of the gifted operetta composer, examining Romberg's key works and musical accomplishments and demonstrating his lasting importance in the history of American musicals. Romberg composed nearly sixty works for musical theatre as well as music for revues, musical comedies, and, later in life, for Hollywood films. Everett shows how Romberg was a defining figure of American operetta in the 1910s and 1920s ("Maytime", "Blossom Time", "The Student Prince"), traces the new model for operetta that he developed with Oscar Hammerstein 2nd in the late 1920s ("The Desert Song", "The New Moon"), and looks at his reworked style of the 1940s ("Up in Central Park"). This book offers an illuminating look at Romberg's Broadway career and legacy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.037 | 0.024 |
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".