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Record W2914128001 · doi:10.5539/ells.v9n1p1

Patriarchy Rejected: A Feminist Reading in Some Selected Poems by Adrienne Rich and Fatima Naoot

2019· article· en· W2914128001 on OpenAlexvenueno aff
Usama Raslan

Bibliographic record

VenueEnglish Language and Literature Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryPatriarchyReading (process)ArtSociologyLiteraturePhilosophyGender studiesLinguistics

Abstract

fetched live from OpenAlex

The present paper offers a comparative feminist reading of the American poet Adrienne Rich and the Egyptian poet Fatima Naoot. It aims at analyzing both Rich’s and Naoot’s poetry in terms of feminist criticism demonstrated particularly in Beauvoir and Millett’s theory of patriarchy. The collections from which the poems under study are selected are Rich’s The Fact of a Doorframe: Poems Selected and New, 1950-1984 (2002), and Naoot’s A Bottle of Glue (2007). The selected poems are Rich’s “Aunt Jennifer’s Tigers”, “An Unsaid Word”, and “Power”, and Naoot’s “The Cock’s Crest”, “A Goose”, and “Isis”. The analysis of these poems motivates one to infer three essential points regarding the poetic achievement of both poets. First, patriarchy is a male programming engineered by the male to subdue and decentralize the female by treating the latter as if she were a sexed being, or rather the inessential other. Second, this inferior position of woman motivates Rich and Naoot to incorporate Beauvoir and Millett’s theory of patriarchy into their verse. In order to achieve this objective, both poets set up a poetic vision in terms of which they portray how patriarch marginalizes and subordinates woman. Lastly, the close reading to the selected pieces denotes that they rotate around the systematized oppression of women. Such is the common theme of Rich and Naoot’s verse.

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)0.003
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 score0.014
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.013
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.003
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 head0.008
GPT teacher head0.279
Teacher spread0.272 · 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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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