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Revenge Pornography and Rape Culture in Canada's Nonconsensual Distribution Case Law

2021· book-chapter· en· W3164387705 on OpenAlexaboutno aff
Moira Aikenhead

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPsychology
TopicSexuality, Behavior, and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsPornographyCriminologyLawDistribution (mathematics)Political scienceSociology

Abstract

fetched live from OpenAlex

Abstract Canada criminalized the nonconsensual distribution of intimate images in 2014. Lawmakers and commentators noted that this new offense would fill a legislative gap in relation to “revenge pornography,” which entails individuals (typically men) sharing intimate images of their ex-partners (typically women) online in an attempt to seek revenge or cause them harm. Feminist writers and activists categorize revenge pornography as a symptom and consequence of “rape culture,” in which sexual violence is routinely trivialized and viewed as acceptable or entertaining, and women are blamed for their sexual victimization. In this chapter, I analyze Canada's burgeoning revenge pornography case law and find that these cases support an understanding of revenge pornography as a serious form of communal, gendered, intimate partner violence, which is extremely effective at harming victims because of broader rape culture. While Canadian judges are taking revenge pornography seriously, there is some indication from the case law that they are at risk of relying on gendered reasoning and assumptions previously observed by feminists in sexual assault jurisprudence, which may have the result of bolstering rape culture, rather than contesting it.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.959
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.293
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations6
Published2021
Admission routes1
Has abstractyes

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