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Record W2392175004 · doi:10.5206/notabene.v9i1.6604

Performing Feminine Aging: The Marschallin’s Body in Der Rosenkavalier

2016· article· en· W2392175004 on OpenAlexvenueno aff
Alexandra Krawetz

Bibliographic record

VenueNota bene · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsWaltzEmbodied cognitionHuman sexualityPsychoanalysisOperaEscapismMusicalAestheticsDancePsychologyArtSociologyGender studiesVisual artsPhilosophySocial psychologyEpistemology

Abstract

fetched live from OpenAlex

This paper applies theories from gerontology to analyze the music and text from Richard Strauss and Hugo von Hofmannsthal’s Der Rosenkavalier (1911) in order to examine the Marschallin’s attitude towards her aging female body. After illustrating the signifiers that code the Marschallin’s body as feminine, this paper incorporates Chris Gilleard’s idea from gerontology, that embracing feminine sexuality prevents the desexualizing process of aging, to examine the Marschallin’s sexual escapism. Then, with the incorporation of biographical accounts discussing reflection on past experiences and Marja Saarenheimo’s gerontological theory that memories are embodied processes, the paper analyzes how aspects of nostalgia relate to the Marschallin’s process of remembering her younger body through musical and textual repetition. The paper concludes with a brief examination of the extra-musical connotations of the waltz and an investigation of the Marschallin and waltz tempi through the lens of gerontology, which revisits the topics of sexual escapism and nostalgia. At the end of the opera, this analysis of the Marschallin shows that she accepts her aging body and exerts control over her own life.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.943
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0130.000

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 head0.031
GPT teacher head0.226
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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

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