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Record W4389109683 · doi:10.1093/cww/vpad021

Miriam Toews’<i>Women Talking</i>and the Embodied Life of Feminist Nonviolence

2023· article· en· W4389109683 on OpenAlexaff
Victoria Glista

Bibliographic record

VenueContemporary Women s Writing · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEmbodied cognitionSociologyGestureGender studiesFaithReading (process)Set (abstract data type)AestheticsPsychologySocial psychologyEpistemologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Abstract In Miriam Toews’ novel Women Talking (2018), the women of a remote Mennonite colony discover that they have been serially raped in their sleep, and so they meet to plot a nonhierarchical community of their own. I argue that this transformation relies on gestures, postures, and reorientations that spur liberatory new ways of perceiving and participating in the world; consequently, their bodily comportment is essential to revolutionary worldmaking, as well as to how we might approach the novel beyond its titular emphasis on speech. The women’s rechoreography of the colony’s norms also revivifies nonviolence as agonistic and egalitarian—a tentpole of the Mennonite faith. My reading works across the entanglement of movement and transformation in Women Talking before thinking through its rehearsal of bodily relations or set of gestural and postural ethics that ultimately dispose these women and survivors toward radical forms of care and interdependence, or what Judith Butler might call “aggressive nonviolence.”

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)0.002
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0080.028
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.036
GPT teacher head0.310
Teacher spread0.274 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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