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Record W4232484523 · doi:10.1386/smt.10.1.55_1

Broomsticks and barricades: Performance, empowerment, and feeling in Wicked and Les Misérables

2016· article· en· W4232484523 on OpenAlexaff
Kelsey Blair

Bibliographic record

VenueStudies in Musical Theatre · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsFeelingEmpowermentPower (physics)PsychologyAestheticsOrder (exchange)Social psychologySociologyArtPolitical scienceBusinessLaw

Abstract

fetched live from OpenAlex

Abstract In this article, I examine the act one finales of two Broadway megamusicals – ‘Defying Gravity’ from Wicked (2003) and ‘One Day More’ from Les Misérables (1987) – to query the relationship between the performance of these numbers and the generation and circulation of feelings of empowerment. As musical theatre scholar Jessica Sternfeld argues, megamusicals offer a performance where ‘emotions run high [and] the tears tend to flow both onstage and in the audience’. Both ‘Defying Gravity’ (where one character in a single song offers a performance of empowerment) and ‘One Day More’ (where an ensemble performs empowerment) have been singled out for their affective impact on audience members and their association with empowerment. Through an analysis of these two numbers, I argue that the numbers’ artistic elements intentionally emphasize the performance of empowerment’s two defining characteristics, power and change, in order to amplify characters’ feelings of empowerment. This, in turn, establishes an affective link between stage and auditorium.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.027
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.048
GPT teacher head0.278
Teacher spread0.230 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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