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Record W2764665717 · doi:10.1093/oq/kbw005

Composing Citoyennes through Sapho

2016· article· en· W2764665717 on OpenAlexaff
Sin Yan Hedy Law

Bibliographic record

VenueThe Opera Quarterly · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOperaArtLiteratureMusicology

Abstract

fetched live from OpenAlex

If a citizen can be created via music, as Jann Pasler has argued, then how might one “compose” a female citizen—a citoyenne—when the very concept of female citizenship was politically illegitimate?1 This article attempts to answer this question by examining the opera Sapho, the first full-length French opera on the celebrated ancient Greek poetess. It was written by the female author Constance-Marie de Salm (1767–1845), and set to music by the male composer Jean-Paul-Gilles Martini.2 Their collaboration was unusual. In general, composers and librettists in late eighteenth-century France were paid the same amount and had the same rights over their operas. Co-creators of different sexes, indicated by the titles Citoyenne Pipelet and Citoyen Martini on the libretto and the printed score, complicated this supposedly “equal” partnership.3 Unlike the gender-neutral English word “citizen,” the French, citoyenne is gendered female and may strike musicologists nowadays as particular. This gender asymmetry operating on the grammatical level skewed the reception of the opera. In a review published in 1795, the author, following the title page of the libretto, calls the librettist de Salm “Citoyenne Pipelet,” but names the composer simply as Martini. The specification of Pipelet’s gender with “citoyenne,” coupled with the omission of “citoyen,” emphasizes Pipelet’s gender, implying that it was natural for a male to compose an opera but unusual for a woman to write its libretto. This article aims to investigate this gender asymmetry. The opera Sapho, I propose, discloses a tension between gender and creative partnership in the history of opera and citizenship.4

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)0.002
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0080.005
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.003

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 head0.016
GPT teacher head0.206
Teacher spread0.190 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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