Meaningful Engagement as a Cornerstone for Implementing the Key Recommendations to Advance the Sexual and Reproductive Health and Rights of Women Living With HIV Across Policy, Practice, and Research in Canada
Bibliographic record
Abstract
In 2022, a community-academic collaborative team published 5 key recommendations for developing a national action plan to advance the sexual and reproductive health and rights (SRHR) of women living with HIV in Canada. In 2023, a national gathering was convened to strategize implementation of the recommendations across policy, practice, and research settings. Discussions highlighted that meaningful engagement of women living with HIV (recommendation 1) is foundational to implementing the other recommendations. Meaningful engagement requires SRHR stakeholders to: actively dismantle power differentials; commit to engagement as an ongoing process; learn about regionally specific epidemiology and sociostructural forces that create and sustain vulnerability for HIV among women; invest in creating supportive infrastructure; and integrate Equity, Diversity, and Inclusion principles to call diverse groups into the conversation. This Canadian initiative demonstrates how global guidelines can be transformed into nationally tailored action plans to advance the SRHR of women living with HIV, grounded in meaningful engagement.
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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 | 0.100 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.034 |
| Scholarly communication | 0.025 | 0.010 |
| Open science | 0.008 | 0.030 |
| Research integrity | 0.013 | 0.034 |
| Insufficient payload (model declined to judge) | 0.007 | 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".