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Record W3128097505 · doi:10.24113/ijellh.v9i1.10882

Identify and Self-Search in Margaret Atwood’s The Handmaid’s Tale

2021· article· en· W3128097505 on OpenAlexaboutno aff
Shubhpreet Sandhu

Bibliographic record

VenueSMART MOVES JOURNAL IJELLH · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsDystopiaFantasyPower (physics)Identity (music)SociologyLiteratureHistoryAestheticsPsychoanalysisArtPsychology

Abstract

fetched live from OpenAlex

This paper attempts to capture the social status, domination of women by men faced by Offred, the protagonist of the sixth best seller novel by the Canadian author Margaret Atwood. The famous fantasy fiction The Handmaid’s Tale is written in the dystopian tradition.Through this novel, she has penned powerfully her social concern regarding the social status, domination, the mental turmoil and the identity crises of women in a male – dominated society and their consequent struggle to overcome this domination, repression and subjugation through many modes of escape strategies. This kind of struggle gives them power to speak against their situation and change their self to enable them to lead a dignified life in the same society. Six years before the publication of this novel, Margaret Atwood had commented on the writing of fiction in a way that seems to anticipate the novel. She comments “What kind of world shall you describe for your readers? The one you can see around you or the better one you can imagine? If only the latter, you’ll be unrealistic. If only the former, despairing, But It is by the better world we can imagine, that we judge the world we have”.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.110
Threshold uncertainty score0.219

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 studies0.0190.027
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.256
Teacher spread0.229 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueSMART MOVES JOURNAL IJELLHSame topicUtopian, Dystopian, and Speculative FictionFrench-language works237,207