Advancing research for HIV prevention among African, Caribbean and Black men
Bibliographic record
Abstract
Abstract In Ontario, African, Caribbean, and Black (ACB) men account for almost 60% of the estimated number of HIV-positive people (through heterosexual contact), although they constitute less than 5% of the province's population. However, current HIV research, programming and policy in Ontario are not aligned with heterosexual ACB men's healthcare needs and interests, and fail to engage them in community responses to HIV. weSpeak is a multisite (Ottawa, Toronto, London, and Windsor) project that is aims to: This will be a mixed method study comprising focus groups, in-depth interviews, and a survey to meet the data objectives. All data collection activities will take place at the same time in 4 cities in 3 sequential phases: Service providers will participate in the concept mapping exercise to review the research findings and develop program, policy, and community-based initiatives to promote resilience and meaningfully engage heterosexual ACB men in community responses to HIV survey. This study will provide evidence on: This study will lead to better understanding of the structural determinants and the psychosocial risk factors of HIV transmission among ACB men in Ontario which will aid in designing evidence-based intervention programs, and thereby reduce their higher vulnerability to HIV and its associated consequences.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".