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Record W2178369968 · doi:10.2307/3660098

[no title]

2005· article· en· W2178369968 on OpenAlexaff
Andrea Most, Raymond Knapp

Bibliographic record

VenueJournal of American History · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMusicalActive listeningReading (process)ScholarshipSubject (documents)Set (abstract data type)Field (mathematics)Musical analysisVisual artsAestheticsLiteratureArtComputer sciencePsychologyLinguisticsPhilosophyCommunicationWorld Wide WebPolitical scienceMathematicsLaw

Abstract

fetched live from OpenAlex

The American Musical and the Formation of National Identity admirably achieves the two central goals set out by the author: to provide scholars with a history of the musical theater that is analytically sophisticated and to offer teachers and students an accessible and engaging textbook for courses in the musical theater. As Raymond Knapp notes in his introduction, the field of musical theater scholarship is still developing, and the lack of a rigorous scholarly history of the form has made teaching the musical a particular challenge. This book fills that gap beautifully and well deserves to become a standard textbook on the subject. Knapp's years of experience as a professor of the musical theater are apparent in the excellent organizational structure of the book, the lucid discussions of individual plays, and the close attention to the details of the music. Enormously helpful is the Web site with numerous musical clips that accompanies the book. Listening to these expertly chosen examples while reading the book approximates as closely as possible the actual classroom experience.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.987
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.005
Scholarly communication0.0050.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.195
Teacher spread0.176 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2005
Admission routes1
Has abstractyes

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