MétaCan
Menu
Back to cohort
Record W4226409802 · doi:10.24043/isj.389

Spaces of resistance and transformation: Caribbean islands between dystopia and creolotopia in Wide Sargasso Sea

2022· article· en· W4226409802 on OpenAlexvenueno aff
Ping Su, Shoujuan Huang

Bibliographic record

VenueIsland Studies Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsnot available
FundersNational Social Science Fund of China
KeywordsDystopiaUtopiaThe ImaginaryHistoryResistance (ecology)CrueltySubalternColonialismCaribbean literatureLiteratureAestheticsArt historyArtSociologyPoliticsPsychoanalysisEcologyArchaeologyLaw

Abstract

fetched live from OpenAlex

Jean Rhys’s best-known novel Wide Sargasso Sea, writing back to Charlotte Brontë’s classic Jane Eyre, is set in the exuberant natural world of the post-emancipation Caribbean. Despite its harsh depiction of cruelty, self-deception, and hypocrisy in the human world, the novel conveys a sympathetic impression of Caribbean society. The novel’s utopian/dystopian tension is centered on its imagining of the Caribbean as a paradoxical site of coexisting dystopia and creolotopia. This article focuses on spaces lived in by individual characters, aiming to show that Wide Sargasso Sea’s Caribbean islands can be read as both dystopian spaces of resistance and creolotopian spaces of transformation. Counter to colonial utopian imaginary, the tropical islands in the novel are presented as an evil, ugly, and diseased world for both white colonizers and the colonized, yet they are simultaneously portrayed as a special Caribbean creolotopia formed through archipelagic thinking and the process of creolization, as embodied in the lived experiences of the black woman Christophine. By resisting the binarism of victim/victimizer and envisioning utopia and creolotopia in the same space, the novel subverts the binary thinking that dominates Western epistemology.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.925

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.028
GPT teacher head0.303
Teacher spread0.275 · 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

Citations5
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueIsland Studies JournalSame topicCaribbean history, culture, and politicsFrench-language works237,207