Development and Implementation of Peer Leader Training for Community-Based Participatory Sexual Health Research
Bibliographic record
Abstract
BACKGROUND: Building the collective capacity of racialized women to meaningfully lead and engage in research is critical to health equity. To address the silence and stigma related to HIV/sexually transmitted infections (STIs) among South Asian women in Canada, peer leadership and engagement were identified as important strategies to promote open discussion about sexual health. OBJECTIVES: Underpinned by the principle of 'nothing about us without us', the objectives of the Story Sharing for Sexual Health (SSSH) research study included engaging and training South Asian women peer leaders to become an integral part of the study and build community research capacity. To achieve these objectives, it was critical to support the peer leaders in gaining a thorough understanding of the research ethics, protocols and teamwork principles, and to consolidate skills in group facilitation and community engagement. METHODS: The peer leaders attended four full-day training sessions on the social determinants of health and gender equity for racialized populations, HIV/STI and sexual health in the context of South Asian communities, community-based participatory research (CBPR) principles, skills in focus group facilitation, community partnerships building, and storytelling epistemologies. A training manual was developed. Evaluation of the training program included 1) evaluation forms, 2) process evaluations through journal writing and feedback sessions, and 3) implementation outcomes. CONCLUSIONS: The SSSH peer research training program was effective. Peer leaders demonstrated effectiveness in liaising with partner agencies, engaging South Asian women in sexual health discussion, completing CBPR activities and team building. Knowledge generated can be applied in CBPR with other racialized women populations.
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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 | 0.106 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.004 |
| 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".