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Record W1980821817 · doi:10.1353/esc.0.0065

Secret Allies: Reconsidering Science and Gender in Cat’s Eye

2007· article· en· W1980821817 on OpenAlexaffvenue
Janine Rogers

Bibliographic record

VenueEnglish studies in Canada · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsMount Allison University
Fundersnot available
KeywordsPolitical scienceSociology

Abstract

fetched live from OpenAlex

' , readers intuited that Atwood was portraying a delicate negotiation between science and art. " e scientifi c imagination balances the mythic imagination, " wrote Eleanor Cook in a review, "as in the two epigraphs, one from Hawking and one from a mythical Genesis. " But when critical interpretations of science in the novel began to appear, that readerly intuition was challenged as some critics concluded that science was a negative force in the novel-an extension of an empiricist and racist patriarchy. Molly Hite, for example, calls the physicist character Stephen "a representative of the white, Western, male oppressor class" who suff ers simultaneously from an "unawareness of the disciplinary system and of his own visibility within that system" (, ). June Deery writes, "Atwood concludes that what links science, imperialism, and patriarchy is control of the body. Western scientists have traditionally been depicted as subduing nature as female. ey share some of the same attitude as colonists: conquer, map, know, and sell" (). Susan Strehle suggests that the patriarchy is active in Cat's Eye in the strictest sense, attributing all forms of Elaine's suff ering to "the fathers" in the novel who enact "hierarchies of value that place women at the bottom and girls below them. " She identifi es the "paternal authorities" as "home,

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.751
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

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

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 head0.110
GPT teacher head0.287
Teacher spread0.177 · 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.

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
Published2007
Admission routes2
Has abstractyes

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