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Record W2883654859 · doi:10.1386/smt.12.2.141_1

‘Is it like a beat without a melody?’: Rap and revolution in Hamilton

2018· article· en· W2883654859 on OpenAlexaff
Jeffrey Severs

Bibliographic record

VenueStudies in Musical Theatre · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLyricsMusicalJazzArtRhymeLiteraturePassionsPoliticsPerformance artArt historyPoetryLaw

Abstract

fetched live from OpenAlex

Abstract Hamilton (2015) celebrates rap as the discursively dense, incandescent language of American revolution, democracy and individuality, but the musical also, in its tragic course, portrays rap’s limits, especially when post-revolutionary problems of governance and family life arise. In giving these dual fates to the show’s central musical language, creator Lin-Manuel Miranda draws on the history of hip hop in general and gangsta rap in particular, offering an implicit critique of vengeful violence through allusions to the allegedly linked murders of Tupac Shakur and Notorious B.I.G. In its close readings of lyrics, this essay focuses on Alexander and Philip Hamilton and John Laurens and draws connections between these characters’ development and Miranda’s use of abolitionist and revolutionary history. The essay also explores the show’s many allegorical attempts to link positions on the political spectrum with different styles of music, from pop and jazz to the increasingly intricate rhyme schemes of hip hop.

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 score0.731
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.095
GPT teacher head0.315
Teacher spread0.220 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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