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Broadway to Main Street

2018· book· en· W2891118173 on OpenAlexaboutno aff
Laurence Maslon

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsExpansivePopular musicMusicalArtChorusPunkVisual artsArt historyMusic industryMedia studiesPerformance artHistoryLiteratureSociologyMusic education

Abstract

fetched live from OpenAlex

The crossroads where the music of Broadway met popular culture was an expansive and pervasive juncture throughout most of the twentieth century and continues to influence the cultural discourse of today. <italic>Broadway to Main Street: How Show Music Enchanted America</italic> details how Americans heard the music from Broadway on every Main Street across the country over the last 125 years, from sheet music, radio, and recordings to television and the Internet. The original Broadway cast album—from the 78 rpm recording of <italic>Oklahoma!</italic> to the digital download of <italic>Hamilton—</italic>is one of the most successful, yet undervalued, genres in the history of popular recording. The phenomenon of how show tunes penetrated the American consciousness came not only from the original cast albums but from interpreters such as Frank Sinatra and Barbra Streisand, impresarios such as Rudy Vallee and Ed Sullivan, and record producers such as Johnny Mercer and Goddard Lieberson. The history of Broadway music is also the history of American popular music; the technological, commercial, and marketing forces of communications and media over the last century were inextricably bound up in the enterprise of bringing the musical gems of New York’s Theater District to millions of listeners from Trenton to Tacoma, and from Tallahassee to Toronto.

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)0.000
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.462
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.028
GPT teacher head0.181
Teacher spread0.152 · 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; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations16
Published2018
Admission routes1
Has abstractyes

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