Longitudinal Findings From a Land-Based HIV Prevention Study With Northern and Indigenous Youth, Canada
Bibliographic record
Abstract
The high prevalence of sexually transmitted infections (STIs) in the Northwest Territories (NWT), Canada underscores the need for culturally relevant, community-driven sexual health initiatives for HIV and STI prevention that prioritize youth engagement and Indigenous leadership. FOXY (Fostering Open eXpression among Youth), a Northern and Indigenous NWT-based community-based organization, conducted 1-week youth Peer Leader Retreats (PLRs) focused on HIV prevention and leadership using land- and arts-based approaches. We conducted a one-group pretest/posttest with youth PLR participants aged 13 to 17 in the NWT and combined the data across PLRs conducted from 2020 to 2022. Assessments were completed at preretreat baseline, immediately postretreat, and at 6-month follow-up to measure changes in study outcomes (safer sex self-efficacy [SSSE], condom use self-efficacy [CUSE], and HIV knowledge). Of n = 133 participants at baseline, 6-month follow-up data were available for n = 122 (92%) participants. Multivariate analyses showed significant improvements in all study outcomes from baseline to 6-month follow-up. SSSE, CUSE, and HIV knowledge scores increased postretreat and continued to improve at 6 months. These findings suggest that culturally relevant, community-driven peer leadership interventions hold promise in advancing HIV prevention cascade outcomes with Northern and Indigenous youth in the NWT.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".