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Record W2626892098

The Legacy of Cuerrier: Issues Unresolved, Questions Unanswered

2011· book· en· W2626892098 on OpenAlexaboutno aff
Ninoslav Mladenovic

Bibliographic record

VenueTSpace · 2011
Typebook
Languageen
FieldSocial Sciences
TopicSex work and related issues
Canadian institutionsnot available
Fundersnot available
KeywordsCriminalizationJudgementSupreme courtJurisprudenceHuman immunodeficiency virus (HIV)CriminologyPolitical sciencePublic healthLawPsychologyMedicineLaw and economicsSociologyFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

A large body of jurisprudence has developed in Canada criminalizing the conduct of HIV positive persons who transmit or expose others to the HIV infection in an equivocal attempt to be seen to be doing something about individuals who are perceived to be driving the HIV epidemic. Convictions have been obtained for charges ranging from aggravated assault to, most recently, murder. The Cuerrier judgement, a landmark decision of the Supreme Court of Canada, left a number of issues unresolved. Given the ambiguities in the decision, this Thesis will address the unfortunate consequences resulting from the Cuerrier’s decision. The conclusion I will attempt to reach is that criminalization is an inadequate strategy to prevent further HIV infection, its increased use in practice is misguided, and counterproductive to public health goals, thus alternatives to the routine criminalization of HIV transmission that may enhance the goals of public health should be considered.

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)0.003
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.488

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0130.024
Scholarly communication0.0110.011
Open science0.0020.002
Research integrity0.0050.012
Insufficient payload (model declined to judge)0.0070.002

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 head0.031
GPT teacher head0.356
Teacher spread0.324 · 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
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

Citations0
Published2011
Admission routes1
Has abstractyes

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