Strengthening the approach to oral health policy and practice in Canada
Bibliographic record
Abstract
Evidence suggests that Canadian children from marginalized populations experience higher rates of oral diseases than their more fortunate counterparts. Oral health care in Canada is a nearly exclusively privatized and siloed system. In order to close the gap in child oral health, a combination of cohesive strategies and accessible providers is essential. The Health Impact Pyramid is a paradigm to guide health policy and programming with ready application to oral health care in Canada for the delivery of evidence-based oral health interventions with high impact. A collaborative approach among primary care providers (oral health and nonoral health), educators and the public sector, and the utilization of oral health service providers to their full scope of practice is needed to access priority populations and to deliver the most impactful interventions. Strengthening the approach to oral health care in Canada is necessary to reduce the inequities in oral health and, in turn, overall child health.
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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 | 0.041 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.027 | 0.018 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.008 | 0.017 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.008 | 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".