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Record W4392102615 · doi:10.5430/wjel.v14n3p62

‘I Have Been Faithful to Thee, Cynara’: Parodying Canonical Pro-Slavery Novel in The Wind Done Gone

2024· article· en· W4392102615 on OpenAlexvenueno aff
Rasiah Rasiah, Isnawati Lydia Wantasen, Golda Juliet Tulung, Ramis Rauf, La Bilu, Nur Israfyan Sofian

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
FundersAnadolu ÜniversitesiTemple University
KeywordsCynaraComputer scienceMathematicsHorticultureBiology

Abstract

fetched live from OpenAlex

Parody, as a specific case of adaptation and intertextuality, is not only burlesquing background text but also creating a critical distance through superimposition strategies. This paper sought to show the parodic means performed in the novel The Wind Done Gone (TWDG) written by Alice Randall. It was meant to be a parody of Margaret Mitchell's novel Gone with the Wind (GWTW) and has intertextuality with other literary works. The interconnection of the novel's narrative strategies and its effort to attach historical reassessment suggested a trustworthy reality of the black slave experience. Randall effectively deconstructed and reconstructed the black experience and identity, as well as dismantled the racist representation in the canonical novel GWTW. Enslaved black people are transformed into dominants as active agents and intelligent, creating a beautiful mulatto, tagging black intellectuals in American history and the new Negroes, naming ties, and providing verbatim quotes to revisit the stereotype and cultural misconstruction against black Americans. Randall seemed not to alter the meta-history of slavery but rather to show the irony of the racist discourse in the canonical saga and other popular media.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.010
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.019
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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
Published2024
Admission routes1
Has abstractyes

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Same venueWorld Journal of English LanguageSame topicShakespeare, Adaptation, and Literary CriticismFrench-language works237,207