Child and youth health in the National Agency for Public Health
Bibliographic record
Abstract
The Canadian Paediatric Society (CPS) was pleased to see Dr David Naylor call for the creation of a National Agency for Public Health in his report, Learning from SARS: Renewal of Public Health in Canada (1), and we commend the Government of Canada for moving forward with such an important initiative. However, it is vital that the unique public health issues faced by children and youth be addressed by this new agency. We believe that the needs of children and youth are not only related to ensuring that they are protected from communicable diseases, but are also related to other key public health issues like physical activity/nutrition/obesity, mental health, maternal and infant health, and injury prevention, which are of paramount importance. The CPS believes that the realisation of such a coordinated concentration of health activities and programs guided by the same set of public health principles, with appropriate funding, will lead to a significant improvement in the health of all Canadians, both young and old. It also offers a unique opportunity for governments, nongovernmental organizations (NGOs) and health professionals to work creatively in addressing the special health needs of Canada's children and youth.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.039 | 0.005 |
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".