The Big Swing: Reforming Governance Authorities in Canadian Health Systems
Bibliographic record
Abstract
The governance of publicly funded health systems in Canada has attracted attention for decades. Governance refers to the steering of the whole health system and goes beyond the role of healthcare boards for hospitals or regions. In this article, we analyze the potential of system-level reforms of governance that have been implemented in seven Canadian provinces since 2008. These reforms involve a movement toward greater centralization of the governance of health systems with the creation of province-wide governing agencies. These reforms of governance are not, by design, a panacea nor an absolute policy mistake. The potential of these governance reforms, as with any structural changes, will largely depend on how actors in power inhabit these new agencies and how patients, citizens, non-governmental organizations and communities relate to them. To assess the potential of these reforms, we first review works on challenges faced by these new health authorities. We then explore the literature on high-performing health systems and on contemporary approaches to governance, offering guidance for leaders of these organizations.
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.015 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".