Bibliographic record
Abstract
Following a decline in reported rates of reportable sexually transmitted infections into the late-1990s in Canada, rates have been rising steadily with over two-thirds of reported chlamydia and gonorrhoea cases occurring among young people under 25 years of age. These increases have paradoxically occurred in the face of a decline in teenage pregnancy, an increase in condom use, a stable age of first sexual intercourse, and fewer lifetime sexual partners. Up to 35% of women and 15% of men report being coerced into sexual intercourse. Sexual minority adults experience higher rates of violent victimisation, including sexual assault, and rates of discrimination three times higher than heterosexuals. Sexual minority and gender variant individuals are up to seven times more likely to attempt suicide than heterosexuals. The burden of poor sexual health in Canada is unevenly distributed across the population with a concentration of poor sexual health outcomes among the economically disadvantaged, in more isolated areas, and among sexual minority and gender variant populations. Our approach to addressing sexual health embraces a population health philosophy. The approach does not focus solely on sexual behaviour, but on determinants that influence the contexts within which decisions and choices affecting sexual health are made. It is a multi-sectoral approach fostering partnerships across government departments and with community organisations. It is a holistic approach that does not focus solely on the physical aspects of sexual health, but on the emotional, mental, and social aspects as well. As part of a symposium on national approaches to sexual health, this presentation will examine key experiences, challenges and opportunities encountered in the Public Health Agency of Canada's approach to protecting and enhancing the sexual health of Canadians. In particular, it will highlight Public Health Agency of Canada's leadership and commitment to sexual health through its investment in research to develop national indicators of sexual health and to collect baseline national data; present exemplary health and social interventions to create supportive environments to promote the sexual health of all Canadians; and share innovative methods used to engage members of vulnerable populations in the development and implementation of sexual health interventions.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.117 | 0.010 |
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".