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Record W3181428127 · doi:10.2478/aa-2021-0004

A postcolonial feminist dystopia: Margaret Atwood’s<i>The Handmaid’s Tale</i>

2021· article· en· W3181428127 on OpenAlexaboutno aff
Adam Briedik

Bibliographic record

VenueArs Aeterna · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsDystopiaNarrativeLiteraturePostcolonialism (international relations)CriticismSubalternIdentity (music)ColonialismInterpretation (philosophy)Agency (philosophy)Literary criticismHistorySociologyAestheticsGender studiesPhilosophyArtLawPolitics

Abstract

fetched live from OpenAlex

Abstract Postcolonial criticism offers a radically new platform for the interpretation of science fiction texts. Mostly preoccupied with the themes of alien other and interstellar colonization, the genre of sci-fi breaths with colonial discourse and postcolonial tropes and imagery. Although Margaret Atwood rejects the label of science fiction writer, her dystopian novel The Handmaid’s Tale (1985) explores similar ethical concerns to the anti-conquest narratives of postcolonial authors. Atwood’s identification of Canadian identity as a victim of the former British Empire is challenged by her introduction of a female character rejecting their postcolonial subjugated identity in a patriarchal society. Her variation on dystopian concerns is motivated by sexuality, and her characters are reduced to objects of colonial desire with no agency. The protagonist, Offred, endures double colonization from the feminist perspective; yet, in terms of postcolonial criticism, Attwood’s character of Offred is allowed to reconstruct her subaltern identity through her fragmented narration of the past and speak in an authoritative voice. The orality of her narration only confirms the predisposition of the text to interpretation in the same terms as postcolonial fiction.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.988
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.224
Teacher spread0.205 · 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 teacher head, not a consensus.

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

Citations2
Published2021
Admission routes1
Has abstractyes

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