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Record W4200157540 · doi:10.34293/english.v10i1.4472

Thematic Analysis in The Edible Women

2021· article· en· W4200157540 on OpenAlexaboutno aff
S Udhayakumar

Bibliographic record

VenueShanlax International Journal of English · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
FundersUniversity of Cambridge
KeywordsPresuppositionSubject (documents)SociologyMilestoneSet (abstract data type)ModernityChord (peer-to-peer)AestheticsAmusementPoint (geometry)EpistemologyGender studiesHistoryPsychologySocial psychologyComputer scienceArtPhilosophyMathematics

Abstract

fetched live from OpenAlex

The Edible Women is one of the most outstanding novels of Margret Atwood which has set a big milestone in her writing career. The novel leaves multiple of interpretations since its subject touches the most sensitive and deepest chord of the society. The novel is more a social novel that it deals with the major issue of gender roles and relationships in general. Atwood has used the novel to magnify even the minute errors and ills of the society which is not touched by other writers of her time. She has clearly portrayed the actual problems of Canadian women of 1960s who have been suppressed by the patriarchal society. She has tried to name their problems which have no names and moreover her approaches to those problems are strange and new.And hence, the novel is called as a proto-feminist novel. Beyond the feministic point of view, the story conveys various themes such as self-discovery, marriage, love, sex, modernity, cultural attitude, relationship and many. Besides, the novel is filled with various symbolic and metaphorical elements that support the author’s presupposition of her world view. Therefore, the paper has made an inquiry in to various thematic elements and symbols to explore the hidden meanings bound with in the story.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.014
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.001
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 head0.248
Teacher spread0.236 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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Same venueShanlax International Journal of EnglishSame topicShort Stories in Global LiteratureFrench-language works237,207