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Record W2783087107 · doi:10.25904/1912/78

Contending With Feminism: Women's Health Issues in Margaret Atwood's Early Fiction

2006· other· en· W2783087107 on OpenAlexaboutno aff

Bibliographic record

VenueGriffith Research Online (Griffith University, Queensland, Australia) · 2006
Typeother
Languageen
FieldArts and Humanities
TopicUtopian, Dystopian, and Speculative Fiction
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismGender studiesSociologyHistoryArt

Abstract

fetched live from OpenAlex

Margaret Atwood's early fiction provides a valuable insight into issues surrounding the establishment of the women's health movement. From The Edible Woman in 1969 to The Handmaid's Tale in 1985, Atwood's work takes up key issues of the movement during this time. Her fiction explores a number of women's health topics including contraception, abortion, birthing, assisted reproductive technologies, eating disorders and breast cancer. Atwood's interest in the appearance of victims in Canadian literature, however, leads to a rejection of the notion that women are fated victims of patriarchal institutions like medicine. This thesis argues that while she does not deny women can be victims, she refuses to accept that this role is inevitable. Foucault's later constructions of power and resistance are explored with the female protagonists refusing to believe their situations are inescapable. Atwood's recognition of her role as a popular fiction writer and her refusal to wear the 'feminist' label allow her the space to critique the women's health movement. Her early fiction exposes the absolutism of the movement and demonstrates its limitations in accounting for women's diversity.

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: none
Teacher disagreement score0.020
Threshold uncertainty score0.049

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 studies0.0160.021
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.119
GPT teacher head0.343
Teacher spread0.223 · 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
Published2006
Admission routes1
Has abstractyes

Explore more

Same venueGriffith Research Online (Griffith University, Queensland, Australia)Same topicUtopian, Dystopian, and Speculative FictionFrench-language works237,207