Redefining Canada Health Act Values: A Scoping Review Protocol of Legal and Legislative
Bibliographic record
Abstract
The Canada Health Act (CHA)1 guides all Canadian jurisdictions on how insured services must be delivered, and failure to meet federally mandated criteria results in the withholding of funding. As such, it provides a framework of what this society values and expects in health care delivery. The complex relationships between levels of government, health care providers, and patients have provided judicial challenges and legislative reviews that have shaped how the Canadian systems apply the core principles of the CHA. In this scoping review, this author’s purpose will be to synthesize legal and legislative decisions that help define how the principles of the CHA are prioritized and identify how jurisdictions can tighten health outcomes and limit jurisdictional disparities in the available health indicators from the Canadian Institute of Health Information (CIHI)2 within the boundaries of the CHA. Using an academic literature search of prominent search engines, this author will map any existing works that include the CHA. This author will conduct a legal decision search through a legal database and catalog decisions by year, principle(s), result(s), and jurisdiction. Legislative literature will be searched through the Parliamentary Library of Canada. The methodology will follow the PRISMA-ScR checklist.3 No ethical concerns are identified, as all the data are publicly available and previously published. The results of the scoping review will be submitted for publishing through a journal with a target audience of health leaders and policymakers, and if feasible through similar target audience conferences.
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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 | 0.216 | 0.219 |
| Meta-epidemiology (narrow) | 0.004 | 0.007 |
| Meta-epidemiology (broad) | 0.011 | 0.011 |
| Bibliometrics | 0.043 | 0.039 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.009 | 0.011 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.063 | 0.015 |
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".