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Record W2485193105 · doi:10.4000/episteme.1122

The Impossible Temptation of Noise in Late Eighteenth-Century English Music

2016· article· fr· W2485193105 on OpenAlexaff
Pierre Dubois

Bibliographic record

VenueÉtudes Épistémè · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsSublimeTemptationHarmony (color)AestheticsExpression (computer science)Subject (documents)PhilosophyMusical expressionPhilosophy of musicLiteratureMusicalArtMusic historyComputer scienceVisual arts

Abstract

fetched live from OpenAlex

As Hogarth’s famous print, The Enraged Musician, makes clear, “sound” and “noise” are antithetical notions. Noise is defined negatively as a disruptive element. “It works as a deconstruction”, Paul Hegarty claims. Historically, in the Aristotelian tradition, music used to be thought of as an art based upon harmonious sound and correct proportions, that is, as fundamentally opposed to noise, which did not depend on harmony or mathematical rules. Such a conception was, however, to be gradually overruled by theories of the sublime which accomplished a shift from the object (i.e. music) to the subject (i.e. the listener). Music was gradually “freed”, as it were, from its dependence upon mathematics, and since – for Burke – terror was considered the main cause of the sublime, the temptation arose to suggest sublime terror in music by procedures of imitation of natural noises. This, however, clashed with another dominant aspect of the theories of musical expression that directed that whatever was harsh or discordant could not claim the title of “music.” This paper attempts to analyse the epistemological and aesthetic crisis that resulted from the eighteenth-century theories of expression and of the sublime in England, and which made “noise” both something that one was tempted to introduce into music to create sublime effects, as well as something that was fundamentally incompatible with harmonious sound and expression.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.970
Threshold uncertainty score0.999

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)0.0020.000

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 head0.047
GPT teacher head0.222
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.

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

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueÉtudes ÉpistémèSame topicDiverse Musicological StudiesFrench-language works237,207