Social Correlates of HIV-Risky Behaviours among African Canadian Adolescents Living in British Columbia, Canada: A Secondary Data Analysis
Bibliographic record
Abstract
Studies have linked HIV-risky behaviours among young people to several socio-contextual factors. However, the social factors that might increase African Canadian adolescents' exposure to HIV-risky behaviours, including unprotected sex and forced or multiple-sexual partnerships, have received little or no attention in the literature. Using data from the British Columbia Adolescent Health Surveys (2003-2018) and guided by intersectionality and socio-ecological frameworks, we examined the social determinants of HIV-risky behaviours (HRB) among African Canadian adolescents in British Columbia. We observed a general decline in HRB from 2008 to 2018. However, more than half (54.5%) of the 1042 who were sexually experienced in 2018 reported having 2 or more sexual partners, and nearly half reported condom-less sex. Our results demonstrate an important need to evaluate the impacts of several social factors on health outcomes for a unique, marginalized population.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".