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Record W7060463108

Integration

2011· article· en· W7060463108 on OpenAlexvenueno aff

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2011
Typearticle
Languageen
FieldEngineering
TopicMagnetic Field Sensors Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMusicalField (mathematics)Tone (literature)Period (music)Perception
DOInot available

Abstract

fetched live from OpenAlex

The Oxford Handbook of The American Musical offers new and cutting-edge essays on the most important and compelling issues and topics in the growing, interdisciplinary field of musical-theater and film-musical studies. Taking the form of a "keywords" book, it introduces readers to the concepts and terms that define the history of the musical as a genre and that offer ways to reflect on the specific creative choices that shape musicals and their performance on stage and screen. The handbook offers a cross-section of essays written by leading experts in the field, organized within broad conceptual groups, which together capture the breadth, direction, and tone of musicals studies today. Each essay traces the genealogy of the term or issue it addresses, including related issues and controversies, positions and problematizes those issues within larger bodies of scholarship, and provides specific examples drawn from shows and films. Essays both re-examine traditional topics and introduce underexplored areas. Reflecting the concerns of scholars and students alike, the authors emphasize critical and accessible perspectives, and supplement theory with concrete examples that may be accessed through links to the handbook's website. Taking into account issues of composition, performance, and reception, the book's contributors bring a wide range of practical and theoretical perspectives to bear on their considerations of one of America's most lively, enduring artistic traditions. The Oxford Handbook of The American Musical will engage all readers interested in the form, from students to scholars to fans and aficionados, as it analyses the complex relationships among the creators, performers, and audiences who sustain the genre [Publisher description].

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)0.002
metaresearch head score (Gemma)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.384
Threshold uncertainty score0.878

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0110.007
Open science0.0020.009
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.3840.212

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 head0.180
Teacher spread0.161 · 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
Published2011
Admission routes1
Has abstractyes

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