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Record W4387762342 · doi:10.1017/9781108991124.008

“Worthy of Serious Attention”

2023· book-chapter· en· W4387762342 on OpenAlexaboutno aff
R. Larry Todd

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsViolinPianoChamber musicRepertoireSymphonyArtMusicalVisual artsLiteratureVariety (cybernetics)HistoryArt historyComputer science

Abstract

fetched live from OpenAlex

If relatively modest in quantity, the chamber music of Amy Beach comprises a significant body of work that confronts meaningfully the churning countercurrents of her musical style. Chronologically, this repertoire falls into three groups, of which the first concentrates on works for violin and piano, culminating in the Violin Sonata, while in the second Beach explores a variety of other genres, including the piano quintet. The third and final group adds two late works, for piano trio and wind quintet. If this repertoire betrays clear enough references to Austro-Germanic traditions of chamber music, in particular to the music of Brahms (for example, Beach’s piano quintet exhibits examples of modeling from Brahms’s op. 34), it also reflects Beach’s ongoing efforts to expand the idea of American music, in part in answer to Dvorák’s “challenge” laid down in the “New World” Symphony. For Beach, the diversity of American music encouraged her to incorporate various popular sources, including Irish folk music and native Inuit music, into her own eclectic stylistic mixtures.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0670.025

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 head0.037
GPT teacher head0.189
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2023
Admission routes1
Has abstractyes

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