Designing systems for the care we need: A transformation journey in Southwestern Ontario
Bibliographic record
Abstract
Primary care is considered the foundation of any health system. In Ontario, Canada Bills 41 and 74 introduced in 2016 and 2019, respectively, aimed to move towards a primary care-focused and sustainable integrated care approach designed around the needs of local populations. These bills collectively set the stage for integrated care and population health management in Ontario, with Ontario Health Teams (OHTs) introduced as a model of integrated care delivery systems. OHTs aim to streamline patient connectivity through the healthcare system and improve outcomes aligned with the Quadruple Aim. When Ontario released a call for health system partners to apply to become an OHT, providers, administrators, and patient/caregiver partners from the Middlesex-London area were quick to respond. We highlight the critical elements and journey of the Middlesex-London Ontario Health Team since its start.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.053 | 0.026 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.005 |
| 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".