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Record W3112018180

The Criminalisation of Marital Rape and Law Reform in Canada: A Modest Feminist Success Story in Combatting Marital Rape Myths

2017· article· en· W3112018180 on OpenAlexaffabout
Jennifer Koshan

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSexual Assault and Victimization Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCriminologyContext (archaeology)Political scienceDomestic violenceState (computer science)WifeLaw reformCriminal lawLawSociologyPoison controlSuicide preventionGeographyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Marital rape is both a product of and a contributing factor to women’s inequality in Canadian society and internationally. Before 1983 in Canada it was legally permissible for a man to rape his wife without criminal sanction. This chapter reviews the struggles surrounding the criminalisation of marital rape in Canada with a view to identifying the arguments, processes and ongoing challenges that may be relevant to other jurisdictions contemplating the shift to criminalising sexual assault in spousal relationships. Part II provides the factual context for the legal analysis, including the prevalence and harms of sexual violence in spousal relationships. Part III outlines the historic rationales for the marital rape immunity, and how these marital rape myths were disputed and dispelled in the law reform efforts that lead to the criminalisation of marital rape in Canada. Parts IV and V examine the legal frameworks applying to marital rape following criminalisation, illustrating the broader doctrinal changes which have been necessary for criminalisation to be implemented in a meaningful way. Despite these reforms, however, marital rape continues to be subject to problematic state (in)action in Canada. Part VI considers arguments and strategies that aim to hold the state to account for ensuring that the criminalisation of marital rape is fully implemented. Part VII concludes with lessons learned from Canada that may be relevant to criminalisation efforts in other jurisdictions.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.301
Teacher spread0.279 · 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.

Study designObservational
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

Citations0
Published2017
Admission routes2
Has abstractyes

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