Championing health care for children and youth: Ensuring Canada's future
Bibliographic record
Abstract
Children and youth younger than 19 years of age represent 25% of the population in Canada and are the future of our country. They will live the longest with the consequences of the decisions made by today’s policy makers. No other group is more significantly affected by an inadequate psychosocial or educational environment, or by the exposure to infectious diseases, tobacco, drugs and needless injury. Furthermore, robust evidence links the following: ... Beyond any other single strategy that may be applied, the investment in a framework of sound psychosocial, physical and mental health, and educational opportunities for every one of our children and youth will benefit society as a whole. Furthermore, the experience of the past 20 years or more indicates that research in genetic determinants of disease, vaccine development, injury prevention and population health (almost all of this research has been done in the paediatric population) has been of major importance, physically, socially and economically, to all Canadians.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".