HIV-Positive Notification and Behavior Changes in Montreal Injection Drug Users
Bibliographic record
Abstract
This study examined the effect of an HIV-positive notification on the sexual and injection behaviors, living conditions, and medical demands of injection drug users (IDUs) in Montreal. The behavior changes of 73 IDUs who received an HIV-positive test result, and 219 IDUs who tested negative were compared, and the net difference (ND) in the proportion of IDUs adopting the particular change was determined. No significant changes were found in drug use or needle sharing practices. A higher proportion of IDUs who received an HIV-positive notification acquired unstable living conditions, ND = 20.7% (95% CI = 3.3, 38.1), began medical follow up, ND = 34.4% (95% CI = 20.8, 48.7), and increased needle exchange program (NEP) utilization, ND = 20.5% (95% CI = 8.3, 32.8). Compared with HIV-negative males, more HIV-positive male IDUs stopped sexual relations, ND = 24.6% (95% CI = 0.4, 48.9), and sex work, ND = 31.8% (95% CI = 12.4, 51.3), and fewer began new relations, ND = -38.2% (95% CI = -52.6, -23.9). The medical community and NEPs have an important role in providing support for newly diagnosed IDUs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".