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Record W2908718997 · doi:10.3366/elr.2019.0523

Sense and Sensibilities: A Feminist Critique of Legal Interventions against Sexual Violence

2019· article· en· W2908718997 on OpenAlexaboutno aff
Sharon Cowan

Bibliographic record

VenueEdinburgh Law Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)LawLaw reformSexual violenceSociologyBattleAction (physics)CriminologyCriminal lawPolitical scienceHistory

Abstract

fetched live from OpenAlex

Feminists have spent decades trying to reform laws and evidential procedures relating to sexual assault. Using the current Scottish context as a case study, I will argue that while efforts to reform the text of the substantive as well as evidential and procedural aspects of the law have been largely successful, in practice the impact of these reforms has not always been felt. Drawing on contemporary examples from Scotland, and setting these within the broader context of similar problems and arguments in other jurisdictions such as England and Wales, Australia and Canada, I will examine the ways in which the ‘laws on the books’ have not always translated smoothly through to ‘law in action’. The aim is to highlight an ongoing failure on the part of those charged with applying the law (judges, legal professionals, juries) to do so appropriately, raising the question of whether it makes sense for feminist scholars to try to engage with what seems like the entrenched ‘sensibilities’ of criminal law. It may well be that the contemporary battle ground is not over legal territory as such, but over whose voices are heard in public debates on sexual violence. Ultimately, I argue that our all too frequent failures to punish sexual violence in a meaningful way suggests that we need to think again about how we deal with issues of sexual violence in contemporary society.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.902
Threshold uncertainty score0.768

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.347
Teacher spread0.321 · 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 teacher head, 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

Citations31
Published2019
Admission routes1
Has abstractyes

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