Saskatchewan. Health Reform Observer- Observatoire des Réformes de Santé 1 (1): Article 1.
Bibliographic record
Abstract
Saskatchewan has gone further than any other Canadian province in implementing health system process improvements using Lean, a production line discipline that originated with the automobile industry. The goal of the Lean reform is to reduce waste and improve quality and overall health system performance by long-term changes in behaviour. Lean enjoys a privileged position on the provincial government’s agenda because of the policy’s championing by the Deputy Minister of Health and the policy’s fit with the government’s patient-centred care agenda. The implementation of reform depends on a major invest-ment of time in the training and Lean-certification of key leaders and managers in the provincial health system. The Saskatchewan Union of Nurses, the union representing the single largest group of health workers in the province, has agreed to co-operate with the provincial government in implementing Lean-type reforms. Thus far, the government has had limited independent evaluation of Lean while internal evaluations claim some successes. Aucune province canadienne n’est allée aussi loin que la Saskatchewan dans la mise en oeuvre de processus d’amélioration de son système de santé suivant ‘Lean ’ (gestion allégée),
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.407 | 0.087 |
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".