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Record W1795215293

An Ecocritical Reading in Wide Sargasso Sea

2013· article· en· W1795215293 on OpenAlexvenueno aff
Areej Saad Almutairi

Bibliographic record

VenueStudies in literature and language · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsSargasso seaEcocriticismHumanityNarrativeHistoryPoliticsReading (process)Order (exchange)Inheritance (genetic algorithm)LiteratureSociologyLawPolitical scienceArtOceanography
DOInot available

Abstract

fetched live from OpenAlex

The present study attempts to underscore the significance of re-conceptualizing human values, in order to redefine the ways we have established humanity’s relationships to the universal ecologic system. These relationships are depicted in Jean Rhys’s Wide Sargasso Sea (1966). By examining the thematic concerns of the novel through the lens of ecocriticism, we can harvest something of the destructive patterns and practices that participate to the contemporary ecological dangers, imbalances, and crisis. Jean Ryhs in Wide Sargasso Sea (1966) depicts the troubled relationships between land ownership, law, justice, and inheritance. In Wide Sargasso Sea, Rhys stimulates us to question the values formed through the historical and legal story lies in Charlotte Bronte’s Jane Eyre (1847). Rhys’ story breaks the restrictions of Bronte’s fiction by concerning the nineteenth century socio-economic situations that Bronte depicts. Although Rhys depicts a Caribbean setting of the early 19 th century, her fiction is obviously related to the issue of colonization in the 20 th century. In her novel, Rhys explores dimensions of colonization in terms of its impacts on people stayed in vastly various landscapes. Rhys shows the influence of capitalist interests on females who try to navigate the social and political movements wrought in their communities and environments by appearing universal economic issues, and the ways through them capitalism change the earth. The story offers that we reshape our plan of progress, that we extend our idea of space and time to involve future generations in our present reasoning.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.014
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.012
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.012
GPT teacher head0.266
Teacher spread0.254 · 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
Published2013
Admission routes1
Has abstractyes

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