MétaCan
Menu
Back to cohort
Record W4385952238 · doi:10.1017/s0954586723000125

Production as Criticism: Staging Wartime Rape in the Opera Canon

2023· article· en· W4385952238 on OpenAlexfundno aff
Margaret Cormier

Bibliographic record

VenueCambridge Opera Journal · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOperaCriticismSexual violenceCanonArtSubject (documents)AestheticsTheatrical productionLiteratureDramaGender studiesSociologyVisual artsHistoryCriminology

Abstract

fetched live from OpenAlex

Abstract This article explores contemporary representations of wartime sexual violence on the operatic stage. Rape and the threat of rape loom over many operas in the canon, but even those operas that do not thematise rape may have sexual violence introduced to them in performance. Through analysis of four twenty-first century productions, I consider how the idea of sexual violence works in these wartime stories. Staging the implicit or explicit sexual violence in canonic operas can, in the best cases, allow for nuanced commentary on the subject in our cultural moment. But putting sexual violence on stage is controversial and can pose real risks to audience members. Instead of dismissing the proliferation of depictions of rape in wartime opera productions as mere scandalmongering, I explore specific representations through a feminist ethical framework, and ask: What do we risk and what might we gain by putting rape on stage in these operas?

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)0.009
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 score0.011
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0110.027
Scholarly communication0.0110.004
Open science0.0010.006
Research integrity0.0030.004
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 head0.042
GPT teacher head0.268
Teacher spread0.226 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCambridge Opera JournalSame topicMusicology and Musical AnalysisFrench-language works237,207