P15-23. Community engagement strategies in the Canadian HIV vaccine initiative
Bibliographic record
Abstract
The Canadian HIV Vaccine Initiative (CHVI) is a five-year initiative between the Government of Canada and the Bill & Melinda Gates Foundation, and it represents a significant Canadian contribution to the Global HIV Vaccine Enterprise that seeks to accelerate the development of safe, effective, affordable and globally accessible HIV vaccines. Through its Community and Social Dimensions program area, the CHVI has implemented strategies to engaging community-based AIDS organizations (CBAO's) through dialogue/consultation and a new HIV vaccine Community Initiatives Fund. Face-to-face and on-line consultations were held with representatives of CBAO's to determine the most effective method of their engagement in the CHVI. The consultations identified key considerations including: the importance of supporting innovative strategies of community engagement for HIV vaccines, the need to build on existing activities related to new prevention technologies, the value of domestic-international collaborations and linkages, and the inclusion of a global dissemination and access component. The consultations informed the development of a new funding program launched in winter 2009 to provide funding support to CBAO's in policy development, legal ethical and human rights, and community awareness and preparedness. This milestone signals the commitment of the CHVI to ensure the engagement of vulnerable communities in HIV vaccines work in Canada. In addition, the CHVI is considering other strategies to engage communities such as developing knowledge resources for front-line AIDS and public health organizations, the support of community-based networks and the inclusion of HIV vaccines new prevention technologies in upcoming Canadian skills building and other HIV/AIDS research symposium.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.005 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.048 | 0.006 |
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".