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Record W80656871 · doi:10.7312/cari13424

Addressing Rape Reform in Law and Practice

2008· book· en· W80656871 on OpenAlexaboutno aff
Susan Caringella

Bibliographic record

VenueColumbia University Press eBooks · 2008
Typebook
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVoluntarinessRecklessnessMens reaSexual assaultLaw reformPolitical scienceLawCriminologyCriminal lawPsychologyPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

The first comprehensive book on rape since Susan Brownmiller's Against Our Will and Susan Estrich's Real Rape , this volume probes every aspect of rape law and the discrepancies between ideal law (on the books) and real law (in action). Susan Caringella canvasses the success and failure of reform in the United States, as well as Australia, Britain, Canada, and New Zealand, and assesses alternative perspectives on rape reform, making use of theoretical models, court cases and statistical data. She uniquely delineates a creative model for change while addressing the discretion that undermines efforts at change. This includes charging the accused and plea bargaining, confronting a lack of transparency and accountability in implementing law, and acquiring funding for such changes.

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)0.010
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 score0.011
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.017
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.109
GPT teacher head0.317
Teacher spread0.208 · 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

Citations75
Published2008
Admission routes1
Has abstractyes

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