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Record W4377260320 · doi:10.1515/9780773577107

Violence and the Female Imagination

2006· book· en· W4377260320 on OpenAlexaboutno aff
Paula Ruth Gilbert

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2006
Typebook
Languageen
FieldArts and Humanities
TopicViolence, Religion, and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyArtPsychoanalysis

Abstract

fetched live from OpenAlex

In the past twenty years Quebec women writers, including Aline Chamberland, Claire Dé, Suzanne Jacob, and Hélène Rioux, have created female characters who are fascinated with bold sexual actions and language, cruelty, and violence, at times culminating in infanticide and serial killing. Paula Ruth Gilbert argues that these Quebec feminist writers are "re-framing" gender. Violence and the Female Imagination explores whether these imagined women are striking out at an external other or harming themselves through acts of self-destruction and depression. Gilbert examines the degree to which women are imitating men in the outward direction of their anger and hostility and suggests that such "tough" women may be mocking men in their "macho" exploits of sexuality and violence. She illustrates the ways in which Quebec female authors are "feminizing" violence or re-envisioning gender in North American culture. Gilbert bridges methodological gaps and integrates history, sociology, literary theory, feminist theory, and other disciplinary approaches to provide a framework for the discussion of important ethical and aesthetic questions.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.259
Threshold uncertainty score0.514

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.041
Scholarly communication0.0070.002
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 head0.012
GPT teacher head0.187
Teacher spread0.175 · 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 designQualitative
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

Citations5
Published2006
Admission routes1
Has abstractyes

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