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Record W7126273165 · doi:10.3138/md-68-4-1356

Out of Place, Out of Control: Transgression in Pearl Cleage’s <i>Bourbon at the Border</i> and <i>Flyin’ West</i>

2025· article· en· W7126273165 on OpenAlexvenueno aff
Yi-chin Shih

Bibliographic record

VenueModern Drama · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMarine transgressionSymbol (formal)NationalismInterpretation (philosophy)Perspective (graphical)Race (biology)Value (mathematics)

Abstract

fetched live from OpenAlex

Pearl Cleage (1948–), a self-identified Black nationalist and radical feminist, uses her plays to investigate the role of place in the Black experience. This article focuses on Bourbon at the Border (1997) and Flyin’ West (1992) to examine Cleage’s idea of Black geography through transgressions of spatial boundaries and the law. By considering the presentation of crime in both plays as ultimately constituting spatial acts, this article scrutinizes the main characters’ geographical movement and asserts the significant role of place in the social construction of criminality. In the end, both plays reveal that transgression aims for utopia, an imagined place; therefore, even though transgression is a symbol of resistance, it works only temporarily and as a limited tactical choice. Cleage’s Black theatre thus uses themes of crime and violence to highlight the profound sorrow of the African diaspora. This interpretation emphasizes the value of her understanding of racial issues related to place, and it offers a unique perspective that contrasts with analyses that often overlook these dimensions.

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)0.003
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: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.039
Scholarly communication0.0090.004
Open science0.0010.007
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.000

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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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