WOMEN AT GREATEST RISK: REDUCING INJECTION FREQUENCY AMONG YOUNG ABORIGINAL DRUG USERS IN BRITISH COLUMBIA
Bibliographic record
Abstract
This study investigates why some young Aboriginal people inject opiates at higher frequency than others and suggests policies to address high frequency opiate injection.Multivariate logistic regression is used to analyze data gathered between 2003-04 in Vancouver and Prince George Independent variables include those shown as significant in relevant literature, demographics factors associated with severe addiction, and HCV imd HIV serostatus.Career injectors, females, those living in Vancouver, and binge drug use are all traits shown to be highly associated with daily or more opiate injection.To address these fac1:ors this study recommends implementing mobile outreach services to women carried out by Aboriginal people to provide h a m reduction and referrals to counselling. Executive SummaryIndividuals at high risk of becoming infected with the Hepatitis C virus (HCL') or the human immunodeficiency virus (HIV) are those prone to pursuing high risk behaviours such as unsafe sex and injection drug use.Unlike non-Aboriginal people, high prevalence of HCV and HIV among Aboriginal peoples in Canada is mainly due to injection drug as opposed to unsafe sex.This study uses data from the BC Centre of Excellence Cedar Project to explore why some young Aboriginal drug users may inject at higher rates than others with an eye to providing policy suggestions that will not only reduce injection frequency, but also associated diseases..4mong the Cedar Project cohort of young Aboriginal peoples from Vancouver and Prince George, British Columbia, it was found that being a long-term injector, displaying binging behaviours, living in Vancouver, and being female are predictors of high frequency opiate injection.Based on these discoveries, this study proposes three alternatives to address high frequency opiate injection among young Aboriginal people in Vancouver and Prince George.The options include maintaining the status quo, opening two new locations of the Aboriginal Wellness Program to heighten the therapeutic approach to healing; launching two mobile outreach services vans for women to increase outrea~ch and harm reduction; and, providing more funding for the Western Aboriginal Harm Reduction Association Society, a peer run user support group.The options are weighed against four criteria including cultural safety, political viability, effectiveness, and cost.The study recominenda1:ion made by the author is recognised as being but one step in solving this deep-seeded problem.......
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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".