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Record W433856344

Foreword to "Sigmund Romberg" by William A. Everett

2007· article· en· W433856344 on OpenAlexvenueno aff
Geoffrey Block

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2007
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsArt
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.019
GPT teacher head0.286
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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