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Record W4307687257 · doi:10.5430/wjel.v12n8p396

Woman and Nature: Reading Farah's From a Crooked Rib from an Ecofeminist Perspective

2022· article· en· W4307687257 on OpenAlexvenueno aff
Aisha Al-Harbi

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEcocriticism and Environmental Literature
Canadian institutionsnot available
Fundersnot available
KeywordsEcofeminismGender studiesReading (process)Perspective (graphical)Vulnerability (computing)Dominance (genetics)Context (archaeology)Environmental ethicsSociologySocial constructionismScrutinyPolitical scienceGeographySocial sciencePhilosophyArtLawBiology

Abstract

fetched live from OpenAlex

The aim of this study is to examine ecofeminism in an African context through a close reading of N. Farah's From a Crooked Rib. To achieve this goal, the framework of ecofeminism is utilized to investigate forms of patriarchal domination and exploitation of women and nature in the novel under scrutiny. From a Crooked Rib is written to deconstruct patriarchal dominance as the main catalyst for the damage to nature and the environment constituting a threat to human existence, particularly the existence of the African woman. The text explicitly highlights how women and nature are conceptualized in similar ways due to their fertility, reproduction and, also, vulnerability. It also examines the correlation between environmental degradation and the subordination of women by the African patriarchal system. The study, therefore, attempts to raise social awareness of the importance of protecting women and the environment in order to guarantee environmental sustainability and human survival.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.003
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 head0.005
GPT teacher head0.221
Teacher spread0.215 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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Same venueWorld Journal of English LanguageSame topicEcocriticism and Environmental LiteratureFrench-language works237,207