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Record W2170655211 · doi:10.1177/0032885511409893

Injecting Risk Into Prison Sentences

2011· article· en· W2170655211 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Prison Journal · 2011
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsPrisonSyringeSeroprevalenceMedicineEpidemiologyConfoundingHuman immunodeficiency virus (HIV)PopulationDemographyCriminologyPsychologyEnvironmental healthPsychiatryFamily medicineSociologyImmunologyPathologySerology

Abstract

fetched live from OpenAlex

This article draws on penal epidemiological studies to analyze data from a prisoner-driven survey measuring HCV/HIV seroprevalence and risk behaviors in one Canadian male prison. Our data illuminate confounding points of potential blood exchange among injectors and noninjectors, HCV/HIV carriers and noncarriers, tested and untested prisoners, and prison and free community members. The survey finds higher HCV/HIV incidence and testing rates among injectors, and a penal population educated about high-risk practices. This study includes the first point-in-time estimate by penal injectors on the number and condition of needles/syringes, identifying an overlooked HCV conduit: the transfer of abandoned syringe components to new(er) syringes.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.602

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.079
GPT teacher head0.344
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