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Record W2233361785

[AN OVERALL SOUND PROCESS] Altered Dynamics and Instrumentation at the Onset of Recapitulation in the Nineteenth-Century Symphony

2016· article· en· W2233361785 on OpenAlexaff
Steven Craig Cannon

Bibliographic record

VenueAnalitica · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsSymphonyExposition (narrative)Dynamics (music)Instrumentation (computer programming)Harmony (color)HistoryLiteratureArtComputer sciencePsychologyVisual arts
DOInot available

Abstract

fetched live from OpenAlex

In standard sonata form, the onset of recapitulation exactly quotes the beginning of the exposition, preserving both “structural” parameters (melody, rhythm, harmony, key), as well as “secondary” ones (dynamics, instrumentation, register, tempo). In practice, however, composers may alter any aspect of the main theme upon its return. Most analysis of such recapitulatory alteration has focused on structural change, with other parameters receiving relatively little attention. This paper examines composers’ handling of two secondary parameters—dynamic markings and instrumental density—at the beginnings of recapitulations in the nineteenth-century symphonic repertoire. In order to analyse a large number of works, a system of classifications for recapitulatory alterations is necessary. The alterations fall into four broad types: “similar” recapitulations have few or no changes to dynamics and instrumentation, “intensified” recapitulations are louder or more fully orchestrated than the beginning of the exposition, “attenuated” recapitulations have quieter dynamics or sparser orchestration, and “contradictory” recapitulations have alterations to dynamics and instrumentation that work in opposite directions. After explaining this classification system in detail, with examples from specific symphonies, the paper then gives the results of an analytical survey of 483 sonata-form movements from 282 symphonies dating from the years 1800 to 1899. Similar and intensified recapitulations are most common, with preferences changing over time. Until about the 1840s, similar recapitulations were most common, but from around the 1860s on, intensified returns became the default choice. Attenuated and contradictory recapitulations, by contrast, are very rare throughout the century.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.257
Teacher spread0.237 · 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
Published2016
Admission routes1
Has abstractyes

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