Bibliographic record
Abstract
While almost all universal health coverage in Canada is provided under the Canada Health Act, there is Medicare coverage that is provided outside of the act. This is the first book to explain the nature of these boundary health services, why they exist, and how to navigate them in practice. The Boundaries of Medicare examines the complex range of public health care services and coverage arrangements that predate or have developed alongside the Canada Health Act. These provisions – including for workers’ compensation, military personnel and veterans, incarcerated persons, migrants, and Indigenous Peoples – are often not well understood, even by those working at policy and delivery levels. Katherine Fierlbeck and Gregory Marchildon aim to improve understanding of these boundary services: why they were established, who is eligible for them, how services are provided, how they are paid for, and how they are managed within a multilevel governance system. They also look at the dramatic increase in virtual health care services since the onset of the COVID-19 pandemic and their relationship to the Canada Health Act. Explaining the origins, operations, and tensions of government-funded health care outside the Canada Health Act, The Boundaries of Medicare is an essential resource for policymakers, providers, administrators, and patients seeking to navigate Medicare in Canada.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".