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Record W4322746361 · doi:10.1177/26326663231157196

Sticking points: Incarcerated women's views on barriers to a prison needle exchange program

2023· article· en· W4322746361 on OpenAlexafffundabout
Lorielle Giffin, Luca Berardi, Sandra M. Bucerius, Kevin D. Haggerty

Bibliographic record

VenueIncarceration · 2023
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsMcMaster UniversityUniversity of Alberta
FundersCentre for Addiction and Mental Health
KeywordsPrisonConfidentialityCriminologyPsychologyQualitative researchHarmMedicinePsychiatryMedical educationPolitical scienceSocial psychologySociologyLaw

Abstract

fetched live from OpenAlex

While prison needle exchange programs, or prison needle and syringe programs, have existed in different parts of the world since the 1990s, little is known about how currently incarcerated people perceive them—particularly in Canada, where such programs have only recently been implemented. This study explores incarcerated women's perceptions of a recently implemented prison needle exchange program using in-depth, semi-structured qualitative interviews with 56 federally incarcerated women in Western Canada. In particular, we explore the barriers that women perceive in accessing the prison needle exchange program. These perceived barriers contributed to our participants’ negative views of the prison needle exchange program as well as their overwhelming lack of support for its implementation. Our participants felt that the prison needle exchange program acts as an obstacle to sobriety and could increase different types of harm—including encouraging injection drug use and contributing to overdoses—within the prison. Participants also identified other barriers to using the prison needle exchange program, including a perceived lack of confidentiality/anonymity for users of the program and that the prison needle exchange program itself is structurally incompatible with the rules and operations of a prison system that continues to criminalize drugs. Using an implementation science framework, we argue that this situation accentuates the need for significant consultations with incarcerated people about the operation of such programs, and for funds to support other programs that target participant-identified root causes of substance misuse, such as programs that address past trauma and victimization. At the same time, we caution that some barriers may be inherent in how prisons are structured.

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)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score0.504

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.003
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.069
GPT teacher head0.377
Teacher spread0.309 · 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 designQualitative
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

Citations12
Published2023
Admission routes3
Has abstractyes

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