HIV and Incarceration: Implications for HIV-Positive People Who Use Illicit Drugs During a Seek, Test, Treat, and Retain Initiative in Canada
Bibliographic record
Abstract
People who use illicit drugs (PWUD) face increased exposure to the criminal justice system and disproportionate burdens of HIV infection. This article investigated the effects of incarceration on HIV cascade of care-related measures in a setting with a community-wide seek, test, treat, and retain (STTR) initiative. Using a multivariable logistic regression analysis of 935 HIV-positive PWUD between 2005 and 2017, this article showed a negative relationship between periods of incarceration and two measures of engagement in clinical care for HIV among PWUD: recent dispensation of antiretroviral therapy and suppression of HIV viral load. These findings suggest the benefits of STTR-based efforts are limited by exposure to the criminal justice system and highlight the need for additional supports for PWUD with HIV exposed to the criminal justice system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".