Social, health and drug use characteristics of primary crack users in three mid-sized communities in British Columbia, Canada
Bibliographic record
Abstract
Aims: Despite the increased prevalence of crack use, research on street drug use in Canada currently focusses mainly on injection drug use and/or use in large urban centres. This study's objective was to assess the distinct socio-demographic characteristics, drug-use patterns, health profiles and risk behaviours as well as intervention needs of primary crack users in three mid-sized communities in British Columbia, Canada.Methods: Study participants were recruited with the help of local service agencies and peer recruiters, and assessed between July and November 2008 based on a protocol involving quantitative, qualitative and biological measures.Findings: The majority of the samples: reported unstable housing/homelessness; relied on social benefit payments for income generation; were under current criminal justice supervision; were poly-drug users, using other drugs like alcohol, cannabis or opioids; reported physical and mental health problems; were hepatitis C virus positive; had numerous crack-use episodes per day; frequently shared crack-use paraphernalia; and obtained crack pipe paraphernalia from makeshift items.Conclusions: This study documents crack use as a prevalent street drug use activity associated with extensive social and health risks and harms, which currently are not sufficiently addressed by the existing interventions in the study sites. Concerted attention to, and delivery of, targeted prevention and treatment interventions for the public health problem of crack use in Canada is urgently required.
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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 | 0.000 | 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".