Bibliographic record
Abstract
Canada faces health care challenges common to all industrialized countries – how to ensure timely access tohigh quality care, close to home, at an affordable cost. Addressing these challenges is complicated by inter-jurisdictional variation in both how health care is managed and delivered, and in health outcomes. Canadacan be described as a non-system of 10 provincial and three territorial health insurance plans which mandatepublicly-funded coverage for medically necessary hospital and physician services, based upon commonprinciples and shaped by a federal governance structure that affords substantial power and autonomy to theprovinces/territories over matters of health and health care. This article first examines the structural contextof the health care system in Canada, including the range of services publicly funded, the public-private mix,and the complexities of current governance arrangements. It then discusses several issues affecting healthpolicy reform: costs versus access; questions of sustainability, quality, and performance; human resourcescapacity; and the provision of public and population health services.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.017 |
| Science and technology studies | 0.019 | 0.009 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.011 | 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".