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Record W2343821668

Canadian Prison Needle-Exchange Programs: Can the Health Benefits Overcome the Current Legal Barriers?

2015· article· en· W2343821668 on OpenAlexaffvenueabout
Adrien Iafrate

Bibliographic record

VenueDalhousie journal of legal studies · 2015
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPrisonLegislatureGovernment (linguistics)HarmAgency (philosophy)Political scienceCharterPublic healthPublic administrationLawCriminologyMedicineSociologyNursing
DOInot available

Abstract

fetched live from OpenAlex

The incidence of HIV and Hepatitis C is significantly higher in Canadian federal penitentiaries than among the general public, as are the transmission rates of these two diseases. These disproportionate rates of infection are largely attributed to the sharing of needles among inmates who are addicted to intravenous drugs. This has created a serious public health risk for all federal inmates as well as the general public, since many of these inmates will be released back into society. In response to this risk, the Correctional Service of Canada asked the Public Health Agency of Canada (PHAC) to study the effectiveness and risks of prison needle-exchange programs (PNEPs). In 2006, PHAC’s report, “Prison needle exchange: Review of the evidence,” concluded that “[n]eedle-sharing practices decrease in prisons where PNEPs are offered.” Despite these findings, the federal government has refused to establish a prison needle-exchange program. The harm caused by the federal government’s continuing reluctance is compounded by an existing legislative prohibition on sterile needles in federal penitentiaries. In light of current political and legislative barriers, any hope of establishing such a program lies with the courts. This article assesses the ability to challenge the legislative prohibition on sterile needles through a claim under the Canadian Charter of Rights and Freedoms.

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)0.008
metaresearch head score (Gemma)0.038
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 score0.078
Threshold uncertainty score0.564

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.038
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0060.003
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.000

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 head0.106
GPT teacher head0.371
Teacher spread0.265 · 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

Citations1
Published2015
Admission routes3
Has abstractyes

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