It's about the Relationships: Reflections from a Provincial Quality Council on Building a Better Healthcare System
Bibliographic record
Abstract
The mandate of Saskatchewan's Health Quality Council (HQC) is to play a hands-on role in health system transformation by working collaboratively with government, regional health authorities, health professions and citizens. Instead of the traditional, representative model, HQC is governed by an "expert board." Because board members do not represent their own organization or profession, they have stayed focused on the "system" nature of HQC's mandate, working with individuals and organizations committed to improving quality at a system level. In recent years, HQC has achieved a significant shift in attitude toward quality improvement throughout Saskatchewan's healthcare system, realized partly through building strong, effective relationships with those managing and delivering care. Hundreds of front-line providers, managers and leaders are now learning and applying quality improvement methods to improve healthcare quality. Since its inception, HQC has moved to a higher level of interdependence with other healthcare system stakeholders, helping advance the quality agenda so that everyone has a greater understanding about mutual responsibilities.
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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 | 0.027 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.067 | 0.018 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.016 | 0.038 |
| Insufficient payload (model declined to judge) | 0.006 | 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".