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Record W4382939308 · doi:10.1017/s1752196323000159

Affective Interruptions: Political Collectivity in Halftime

2023· article· en· W4382939308 on OpenAlexaff
Craig Jennex

Bibliographic record

VenueJournal of the Society for American Music · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTemporalityMusicalLyricsNarrativeAestheticsQueerPoliticsRhythmSociologyPsychologyVisual artsLiteratureArtPsychoanalysisLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract In this article, I analyze a rhythmic device in musical theater performance that is often used but rarely discussed: The sudden break into halftime. Breaking into halftime—a rhythmic shift that is performed and perceived as occurring at half the tempo (or speed) of the groove in preceding and subsequent sections—has the effect of abruptly stretching out and slowing down musical temporality. With a break into halftime, a song's groove is suddenly broader, more open, and expansive. When accompanied by lyrics, the move suggests deliberateness, calls attention to the lyrical address, and invites a considered response from the listener. It is a musical device akin to drastically slowing down a spoken cadence to ensure that the listener is fully grasping the significance of one's words. With or without lyrics, this temporal disruption has a powerful effect on listeners’ bodies as, suddenly, the established timing of one's musical experience is disrupted and immediately set to half the speed of the previous pace. By analyzing the use of halftime in three filmed musicals—Newsies, Rent, and the Rocky Horror Picture Show—I show how the rhythmic device carries with it social coding of solidarity and collective power among queer, marginalized, and/or otherwise outcast individuals and ultimately alters the broader narrative of the shows. Ultimately, I articulate how halftime serves to queer time and forge collective action, allowing us to reimagine what sort of politics, formations, collectives, and futures are possible.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.269

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.265
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 teacher head, 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

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