Characteristics of young illicit drug injectors who use North America's first medically supervised safer injecting facility
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.
Bibliographic record
Abstract
The study examined whether North America's first medically supervised safer injection facility (SIF) attracts young injection drug users (IDUs) who are at high risk of health-related harm. Prevalence of SIF use was determined based on data obtained after the SIF's opening. Predictors of initiating future SIF use were determined based on behavioral information obtained from the participant's study visit immediately preceding the SIF's opening. The median duration between the acquisition of pre-SIF opening behavioral data and the more recent interview, where SIF use was measured, was 16 months. Characteristics of IDUs who did and did not subsequently initiate SIF use were statistically compared (N = 135). Data from the 6-month period prior to the SIF's opening showed that youth initiating SIF use were significantly more likely to have been in jail, to use heroin daily, to have overdosed, to have binged on drugs, to have loaned needles, and to have been homeless. The study suggests that among IDUs 29 years of age or younger, those who used the SIF were at higher risk than those who were not.
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 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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it