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Record W795769820 · doi:10.5206/notabene.v6i1.6587

Figures Pointing to an End: Operatic Analysis and Modern Sound Design

2013· article· en· W795769820 on OpenAlexvenueno aff
Martin Dawson

Bibliographic record

VenueNota bene · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSound (geography)OperaTragedy (event)Sound analysisSound designLiteratureArtSemioticsHistoryPhilosophyLinguisticsAcousticsPhysics

Abstract

fetched live from OpenAlex

In a 2003 production of Jean Racine’s Phèdre, the director Patrice Chéreau introduces into the play a bevy of sound effects. The sounds range from solo cello accompaniment to electronically produced crackling noises. This use of sound bears a resemblance to the way music functions in operas of Jean-Philippe Rameau and Richard Wagner. By interpreting these sounds according to models in recent work in operatic analysis, this paper shows how Chéreau’s sound effects achieve new significance as leitmotifs and as commentary on the events of the play. The study of theatre semiotics also provides a pathway for interpreting these sounds as symbols of fate and indications of Hippolyte’s death at the climax of Phèdre. Chéreau highlights the relationships among the tragedy’s characters by surrounding certain words and phrases with specific sound effects, or by inserting sound effects at particular moments of turmoil and at the dramatic climax. In particular, Chéreau emphasizes the themes of forbidden love and deceit in connecting these moments throughout the play. This analysis provides a way for expanding research in sound design by incorporating methods traditionally used for analysing opera.

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)0.004
metaresearch head score (Gemma)0.006
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: none
Teacher disagreement score0.008
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.034
Scholarly communication0.0080.005
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.050
GPT teacher head0.245
Teacher spread0.195 · 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
Published2013
Admission routes1
Has abstractyes

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