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Record W3175613424 · doi:10.5206/notabene.v14i1.13390

“Oppressed by Sensual Delight”: On a Lesbian Relationship with Rebecca Clarke’s Viola Sonata

2021· article· en· W3175613424 on OpenAlexaffvenue
Logan Imans

Bibliographic record

VenueNota bene · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsViolaArtMusicalPerforming artsLesbianId, ego and super-egoFreudian slipSingingViolinLiteratureAestheticsPsychologyPsychoanalysisArt history

Abstract

fetched live from OpenAlex

This paper explores Rebecca Clarke’s Viola Sonata (1919) through the experience of a lesbian relationship—a relationship that extends from the Sonata as experienced by a violist and scholar, to Clarke herself as a performer and composer. Inspired by the work of Suzanne Cusick, I examine the musical elements of the Viola Sonata that invite and enable a lesbian relationship in the music. Such elements include existence outside the phallic economy, porous ego boundaries, and a fluid positioning within the power/pleasure/intimacy triad. A central theme of Clarke’s compositional style is embodiment, which furthers the potential for a lesbian experience of the Viola Sonata through “body-aware” and performer-centric techniques. The poetic inscription for the Sonata, lines from Alfred de Musset’s “La nuit de mai,” serves to further construct a musical narrative of embodiment through the relationship of Poet and Muse. Without claiming that Clarke was a lesbian, this paper sheds light on the Viola Sonata by considering the relationships between performer, composer, and listener in a lesbian musical analysis.

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: Other · Consensus signal: none
Teacher disagreement score0.190
Threshold uncertainty score0.378

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.025
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0020.006
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 head0.032
GPT teacher head0.213
Teacher spread0.181 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

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