Health Curriculum Policy Analysis as a Catalyst for Educational Change in Canada
Bibliographic record
Abstract
Health curriculum policy development in Canada is a provincial and territorial responsibility that addresses the national agenda of health promotion. Each curriculum policy reflects philosophies about health. This study investigates the health education models found in the research literature and compares them with those used in Health curriculum policies for Grades 4 – 9 across Canada using a policy analysis framework developed by the authors. This study is also intended to establish the degree of curriculum coherence (Beane, 1995) and knowledge mobilization (Levin, 2008) around health priorities for children and adolescents. Findings show inconsistencies among policies and between philosophies and student outcomes. The most common policy model is that of interactive level of health literacy, positing students as informed recipients of health care and responsible decision makers. This analysis is offered as a catalyst for national dialogue on health education policy coherence.
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 | 0.019 | 0.035 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.023 | 0.008 |
| Scholarly communication | 0.016 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".