A summary of the Pan-Canadian framework on sexually-transmitted and blood-borne infections
Bibliographic record
Abstract
Sexually-transmitted and blood-borne infections (STBBI) remain a significant health concern in Canada and around the world. To guide Canada's efforts to reduce the health impact of STBBI and to contribute to global efforts, a Pan-Canadian framework was developed and has been endorsed by federal, provincial and territorial ministers of health. The framework sets out an overarching and comprehensive approach to address STBBI. It has an integrated approach given the shared common risk factors, transmission routes, and affected populations. The framework establishes a vision for Canada where STBBI are rare and people living with STBBI receive the care and support they need. The success of the framework will be measured against the global STBBI targets and progress towards these strategic goals: reduce the incidence of STBBI in Canada; improve access to testing, treatment, and ongoing care and support; and reduce stigma and discrimination that create vulnerabilities to STBBI. The framework is composed of four interconnected pillars that span the continuum of STBBI care: prevention, testing, initiating care and treatment, and ongoing care and support. The framework recognizes that the creation of an enabling environment that includes interrelated legal, social, cultural, physical, and structural conditions supports successful STBBI programs, policies and actions. Through this framework, Canada is unifying and communicating a common approach to addressing STBBI while respecting the flexibility required by jurisdictions and sectors to address different needs and priorities. As outlined in the Pan-Canadian framework, federal, provincial, and territorial governments will develop indicators and targets for Canada that will permit them to measure Canada's progress and guide their respective priorities for all pillars of the framework.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".