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Record W2005391439 · doi:10.3138/md.2012-s75

Redressing the Black Crook: The Dancing Tableau of Melodrama

2012· article· en· W2005391439 on OpenAlexvenueno aff
Bradley Rogers

Bibliographic record

VenueModern Drama · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicTheater, Performance, and Music History
Canadian institutionsnot available
Fundersnot available
KeywordsRealmMusicalSpectacleArtLiteratureSingingVirtueAestheticsDancePhilosophyHistoryEpistemologyLaw

Abstract

fetched live from OpenAlex

ABSTRACT: This article claims that modern musical theatre began when dancers transformed the static tableaux of melodrama into episodes of singing and dancing. Though static, the melodramatic tableau had long been understood as suggesting incipient action; the musical distinguished itself generically by realizing this potential energy. The tableau vivant and the pose plastique had already laid the groundwork by deploying women’s bodies to depict the melodramatic realm of ideality upon which melodrama focused. However, while melodrama valorized the arresting of a woman’s body, the musical celebrated instead her performing power. It is precisely this use of women’s bodies simultaneously as signifier of a mythic realm of melodramatic virtue and as eroticized yet empowered spectacle that creates the musical’s affective disintegration. This genealogy demands that we reconsider the role of The Black Crook in theatre history, since it links the traditions of melodrama, posing entertainments, and musical theatre.

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: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.008
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.219
Teacher spread0.187 · 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

Citations4
Published2012
Admission routes1
Has abstractyes

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