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Record W1585059196

28. A Feminist Remedy for Sexual Assault: A Quest for Answers

2012· article· en· W1585059196 on OpenAlexaffabout
Constance Backhouse

Bibliographic record

VenueOpenEdition (OpenEdition) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCriminologyHarmHatredSexual assaultPrisonRestorative justiceLawPolitical scienceCriminal justiceEconomic JusticeCompensation (psychology)SociologyCorporate governancePsychologySocial psychologyPoison controlSuicide prevention
DOInot available

Abstract

fetched live from OpenAlex

In this final chapter (chapter 28 of Sexual Assault Law, Practice, and Activism in a Post Jane Doe Era), Constance Backhouse returns to the very questions posed by Jane Doe’s activism and the Garneau Sisters who followed her: what is a feminist response to sexual assault? As a historian, Constance looks back at harsh sentencing laws for convicted rapists, revealing how embedded they were and remain in racial fear of and hatred directed at Africans and African-Canadians. She argues that feminists should not support prisons and should continue to explore restorative justice options, advocating more, not less, delegation of self-governance to offenders, in contrast, perhaps, to the directions identified by Gillian Balfour and Janice Du Mont. Constance points to a 1974 Ontario decision that awarded compensation to the complainant as a criminal remedy as an example of how to ensure restitution for women. She urges us to divest from criminal law responses and instead invest in the creative possibilities for recognizing and reimagining the harm of rape that feminist artists and authors can offer.

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)0.005
metaresearch head score (Gemma)0.009
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 score0.748
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0160.053
Scholarly communication0.0070.008
Open science0.0020.004
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0150.001

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 head0.030
GPT teacher head0.288
Teacher spread0.258 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

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