Background Briefing: The Canadian Health Care System
Bibliographic record
Abstract
Health care in Canada has long been a source of national pride. Known as ‘medicare’, the system is publicly financed but privately run, it provides universal coverage and care is free at the point of use. The system is based on five founding principles. Care must be universal, portable, comprehensive, accessible, and publicly administered. But does medicare adhere to these principles? Many think not. Ten Systems and Five Founding Principles: The Development of Medicare Canada’s version of national public health insurance is characterised by local control, doctor autonomy and consumer choice – patients theoretically have a free choice of physician and hospital. (Kraker, 2002). The ten provincial governments are the key providers of health care, having the constitutional responsibility for planning, financing, and evaluating the provision of hospital care, negotiating salaries of health professionals and negotiating fees for physician services. The result is that each provincial insurance plan differs slightly – mostly in how far each extends public insurance coverage beyond medically necessary hospital and physician services (Kraker, 2002). Additional services may include optometric services, dental services, chiropractic services and prescription drug benefits.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.017 | 0.004 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.049 | 0.005 |
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".