Supporting Implementation Research to Improve Coverage and Uptake of HIV Related Interventions
Bibliographic record
Abstract
In 2015, Global Affairs Canada joined other members of the United Nations to establish the Sustainable Development Goals, which include the elimination of AIDS by 2030. Innovation is an important part of accelerating the response against HIV and ensuring success in eliminating AIDS by 2030. This is the reason Global Affairs Canada decided to partner with the World Health Organization, to support the INtegration and Scaling Up PMTCT through Implementation REsearch (INSPIRE) initiative, to learn how HIV interventions can be successfully integrated with other essential health services for mothers and children, especially among the most vulnerable populations. Canada also believes that the empowerment of women and girls will be critical to eliminating AIDS. INSPIRE is the evidence that providing women with the knowledge and skills necessary to prevent, treat, and manage HIV enables them to become experts and agents of change in their families and communities. We know that when women are empowered with critical information regarding their health, there is greater retention in care which leads to improved treatment adherence and ultimately helps to reduce the rate of new infections. Global Affairs Canada is proud to have supported the World Health Organization in this effort.
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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 | 0.555 | 0.602 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.009 | 0.013 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".