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Record W4399762934 · doi:10.5206/notabene.v17i1.17178

Vagaries of Harmony: Global Major-Third Relations in the Instrumental Music of Brahms

2024· article· en· W4399762934 on OpenAlexvenueno aff
Mark Murphy

Bibliographic record

VenueNota bene · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHarmony (color)Instrumental musicAestheticsArtVisual artsMusical

Abstract

fetched live from OpenAlex

Internal key relationships in Brahms’s music are an important yet often overlooked area in which he adapted classical forms to a new harmonic language. Using analytical resources developed by Richard Cohn and other so-called “neo-Riemannian” theorists, Brahms’s harmonic ingenuity can be better analyzed in the context of nineteenth-century chromaticism, rather than in a context that is entirely beholden to the principles of diatonic tonality. Nineteenth-century harmonic features that are relevant to Brahms’s music include modulation by major third, augmented triads as structural objects, and hexatonic cycles. This paper will incorporate these harmonic features into a discussion of three compositional trends. First, local modulations by major thirds are used as central contents of sonata-form theme groups. Second, Brahms employs a Schubertian treatment of second subjects in major-third related keys, resolving both the key and the key relations in the recapitulation, but his practice deviates slightly from Schubert’s. Third, he replaces typical dominant or subdominant key relationships with major thirds in the most global contexts. While Brahms was only one of many composers using major-third related harmonies in the nineteenth century, the interplay between diatonic and chromatic structures in his classical forms contribute several interesting innovations to Romantic compositional practice.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.784
Threshold uncertainty score0.996

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.034
GPT teacher head0.240
Teacher spread0.207 · 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 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
Published2024
Admission routes1
Has abstractyes

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