The development and implementation of an innovative community-based intervention to strengthen community capacity for HIV prevention and care among Canadians of African Caribbean and Black (ACB) women in Ontario: a research protocol
Bibliographic record
Abstract
African, Caribbean, and Black (ACB) women are overrepresented among new HIV diagnoses due to social and structural factors. This study seeks to create, implement, and evaluate a community-based peer-led intervention to improve access to HIV prevention and care for ACB women in Canada. This multisite, five-year project, using community-based participatory research, implementation science and evaluation frameworks, will be implemented in five non-iterative phases. Phase 1: Community and partner engagement; Phase 2: Critical health and racial literacy training curriculum and HIV resource development; Phase 3: Implementation research with first cohort of trained HIV Peer Equity Navigators [PENs] in three sites; Phase 4: Training of second cohort of HIV PENs and program implementation of HIV PEN intervention across Ontario; and Phase 5: Evaluation, knowledge sharing and plans for national scale up. We will use a mixed methods approach, including quantitative and qualitative data, such as surveys and qualitative interviews, to analyze and identify implementation scenarios, changes in improving access, and ensuring equity to HIV prevention and care for ACB women in Ontario, Canada. Evidence on the effectiveness of this innovative, peer-led intervention will be used to inform policies and practice related to HIV prevention and care for ACB women in Canada.
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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 | 0.020 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.006 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".