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Prediction of Needle Sharing Among Injection Drug Users<sup>1</sup>

2002· article· en· W2045377921 on OpenAlexaff
Diane Bélanger, Gaston Godin, Michel Alary, Lina Noël, Nancy Côté, Christiane Claessens

Bibliographic record

VenueJournal of Applied Social Psychology · 2002
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsSte. Anne's HospitalFonds de Recherche du Québec - SantéUniversité LavalCanadian Institutes of Health Research
Fundersnot available
KeywordsNormativePsychosocialHuman immunodeficiency virus (HIV)PsychologyDrugNeedle sharingSocial psychologySyringeHiv testTest (biology)Clinical psychologyMedicinePsychiatryFamily medicineEnvironmental health

Abstract

fetched live from OpenAlex

The aim of the present study was to identify the psychosocial factors associated with the intention and behavior of not sharing used needles and syringes among 459 intravenous drug users (IDUs). The intention to not share used needles was positively associated with personal normative beliefs and self‐efficacy; it was negatively related to the proportion of injections with lending used needles and borrowing syringes from sexual partners. Borrowing used needles was negatively associated with intention whereas loaning syringes was positively related to a negative HIV test result. These results suggest that it is only when a direct personal exposure to HIV infection is possible (borrowing) that intention not to borrow is highlighted. Moreover, being HIV positive appears to reduce loaning used 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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.495
Threshold uncertainty score0.675

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.066
GPT teacher head0.343
Teacher spread0.278 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2002
Admission routes1
Has abstractyes

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