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Record W7033408972

Refining the Judicial Lexicon:\nThe Supreme Court of Canada Refines the Defences of Consent\nand Mistaken Belief in Consent

2019· article· en· W7033408972 on OpenAlexaboutno aff

Bibliographic record

VenueInsecta mundi · 2019
Typearticle
Languageen
FieldComputer Science
TopicWireless Sensor Networks for Data Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsParagraphSupreme courtCriminal codeSexual assaultCriminal lawBodily integrity
DOInot available

Abstract

fetched live from OpenAlex

In Canada, the Criminal Code of Canada, R.S.C. 1985, contains a number of “sexual offences” including the broad and general one of “sexual assault.” The offence of sexual assault has been defined as the touching of “another person in a sexual way without her consent” (see R. v. J.A., [2011] 2 S.C.R. 440, at paragraph 23), in “circumstances of a sexual nature, such that the sexual integrity of the victim is violated” (see R. v. Ewanchuk, [1999] 1 S.C.R. 330, at paragraph 24). Thus, lack of consent is one of the key elements of the offence of sexual assault.\nIn R. v. Darrach, 2 S.C.R. 443 (2000), the Supreme Court noted that it “is common for the defence in sexual offence cases to deny that the assault occurred…or to claim an honest but mistaken belief in consent” (at paragraph 58).\nThese two issues, the nature of consent and the defence of mistaken belief in consent, have been recently considered by the Supreme Court of Canada.

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)0.029
metaresearch head score (Gemma)0.065
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 score0.103
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.065
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0050.007
Science and technology studies0.0270.036
Scholarly communication0.0290.013
Open science0.0080.006
Research integrity0.0200.031
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.236
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

Citations0
Published2019
Admission routes1
Has abstractyes

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