Knowledge mobilization around Sexually Transmitted and Blood-Borne Infections (STBBIs) among Black populations in Canada
Bibliographic record
Abstract
Despite preventative efforts to minimize rates of sexually transmitted and bloodborne infections (STBBIs), Canada continues to have an alarming increase in these rates, where Black populations account for the highest rates of STBBIs in Canada. The overall objective of this research study was to understand the factors that contribute to the increase of STBBI rates by focusing on the barriers and facilitators around preventative measures in the Black populations of Canada. More specifically, guided by preliminary findings that revealed there is a gap in knowledge and awareness around STBBIs among Black populations in Canada, this study seeks to examine the barriers and facilitators to knowledge and awareness around STBBIs in this population. This work is comprised of two integrated manuscripts, that of a systematic review examining the barriers and facilitators to three key areas of knowledge around STBBIs: awareness, testing, and prevention, followed by a qualitative study that fills a gap in the literature by further examining the barriers and facilitators to knowledge and implementing STBBI related education and awareness programs for Black populations in Ontario.
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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 | 0.007 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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, 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".