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Record W4391000708 · doi:10.1515/9781580466479

Aspects of Unity in J. S. Bach's Partitas and Suites

2005· book· en· W4391000708 on OpenAlexaboutno aff
David Beach

Bibliographic record

VenueBoydell and Brewer eBooks · 2005
Typebook
Languageen
FieldArts and Humanities
TopicBach Studies and Logistics Development
Canadian institutionsnot available
Fundersnot available
KeywordsArtPhilosophyMathematics

Abstract

fetched live from OpenAlex

This work provides new insight into the inner workings of Bach's Partitas and Suites, establishing various ways in which the composer linked several movements of a suite to produce a unified effect. Musicians -- listeners, performers, and scholars alike -- have often felt a profound connectedness between various movements in multimovement works by the great composers. But sensing musical unity is one thing; showing it is another. In Aspects of Unity in J. S. Bach's Partitas and Suites , David Beach examines many of the forty-four works by Bach in this genre-for keyboard, orchestra, and solo instruments, including the beloved solo works forviolin and for cello-from this perspective. Through careful attention to motivic and harmonic repetitions at various structural levels, made plain to the eye in numerous annotated musical examples and diagrams, Beach establishes that Bach often did link several movements of a suite in various ways, sometimes by overt but often by more subtle means. Aspects of Unity in J. S. Bach's Partitas and Suites thus provides new insight into the inner workings of these great works. David W. Beach is a renowned music analyst and historian of music theory who recently retired as Dean of the Faculty of Music, University of Toronto. He co-translated Kirnberger's The Art of Musical Strict Composition and edited Aspects of Schenkerian Theory [both for Yale University Press] and is co-editor of Music Theory in Concept and Practice [Eastman Studies in Music, University of Rochester Press].

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.947
Threshold uncertainty score0.861

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.029
GPT teacher head0.205
Teacher spread0.175 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2005
Admission routes1
Has abstractyes

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