The Cedar Project: exploring the role of colonial harms and childhood maltreatment on HIV and hepatitis C infection in a cohort study involving young Indigenous people who use drugs in two Canadian cities
Bibliographic record
Abstract
OBJECTIVES: This study examined associations between childhood maltreatment, colonial harms and sex/drug-related risks for HIV and hepatitis C virus (HCV) infection among young Indigenous people who use drugs. DESIGN: The Cedar Project is a cohort involving young Indigenous people who use drugs in British Columbia (BC), Canada. Indigenous collaborators, collectively known as the Cedar Project Partnership, govern the entire research process. SETTING: Vancouver is a large city on the traditional territory of the Coast Salish peoples. Prince George is a mid-sized city, on the traditional territory of Lheidli T'enneh First Nation. PARTICIPANTS: 420 participants completed the Childhood Trauma Questionnaire and returned for follow-up from 2003 to 2016. PRIMARY/SECONDARY OUTCOME MEASURES: Primary outcomes were HIV and HCV infection over the study period. Secondary outcomes included sex and substance use-related risks. RESULTS: Prevalence of childhood maltreatment was 92.6% experienced any maltreatment; 73.4% experienced emotional abuse; 62.6% experienced physical abuse; 60.3% experienced sexual abuse; 69.5% experienced emotional neglect and 79.1% experienced physical neglect. We observed significant associations between childhood maltreatment and apprehensions into residential schools and foster care. All maltreatment types were associated with higher odds of sex/substance use-related risks; sexual abuse was associated with higher odds of HCV infection (adjusted OR: 1.67; 95% CI 1.05 to 2.66; p=0.031). CONCLUSIONS: Findings reflect high prevalence of childhood maltreatment and their associations with HIV/HCV risk and HCV infection. Public health prevention and treatment initiatives must be trauma informed and culturally safe to support healing, health, and well-being.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".