Responsibility for Canada's Healthcare Quality Agenda: Interviews with Canadian Health Leaders
Bibliographic record
Abstract
Canadian healthcare is under increased scrutiny to improve quality and performance, and for good reason. The proliferation of provincial-level quality councils underscores the urgency to establish an aligned national quality agenda. Patient safety has long been held as a critical element of a high-quality healthcare system; with the inexorable growth in spending, efficiency has more recently been introduced. Efficiency and quality are both factors in Ontario's Excellent Care for All legislation introduced in June of 2010, and Quebec's l'Institut national d'excellence en santé et en services sociaux (INESSS) arising from the Castonguay report. These associations of quality and efficiency are also echoed in the US, Australian and UK public debates. The development of a quality agenda has concurrently precipitated discussion regarding responsibility for quality, particularly but not exclusively with the emergence of quality issues in the technical and interpretive pathology arena. The discussion and debate on responsibility have become preoccupations at the national, provincial, institutional and individual profession levels.
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 | 0.018 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.067 | 0.017 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 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".