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Record W3093835710 · doi:10.1017/s1479409820000233

Saint-Saëns and Sophocles

2020· article· en· W3093835710 on OpenAlexaff
Steven Huebner

Bibliographic record

VenueNineteenth-Century Music Review · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsMcGill University
Fundersnot available
KeywordsSAINTWitnessArtContext (archaeology)Art historyLiteratureHumanitiesVisual artsHistoryPhilosophyArchaeologyLinguistics

Abstract

fetched live from OpenAlex

Saint-Saëns's incidental music for Sophocles’ Antigone (Comédie-Française, 1893, trans. Meurice and Vacquerie) gives witness both to his engagement with culture classique and an experimental orientation in the context of fin-de-siècle music theatre. This essay situates Saint-Saëns's highly idiosyncratic score within the frame of late nineteenth-century research into ancient Greek music by François-Auguste Gevaert and Louis-Albert Bourgault-Ducoudray. It documents how Saint-Saëns aimed to participate in the creation of an authentic experience of ancient Greek theatre, one enhanced by the initiative of the Comédie-Française to stage its production at the open air Théâtre d'Orange in southern France. The article also shows the limitations of authenticity resulting from the nature of the translation as well as from Saint-Saëns's own compositional instincts.

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: Other · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.043

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 studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.000
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 head0.063
GPT teacher head0.229
Teacher spread0.166 · 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
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
Published2020
Admission routes1
Has abstractyes

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