Stronger Together: A Collaborative Approach to Solving Canada’s Healthcare Supply Chain Crisis
Bibliographic record
Abstract
Canada's healthcare supply chain faces persistent disruptions, and its fragility has been well documented. This jeopardizes patients' access to critical care and places significant stress on healthcare professionals, which points to the essential need for a collaborative approach to building relationships, strengthening self-reliance and advancing healthcare supply chain resilience in Canada. This paper documents the design and development of a community of practice (CoP) strategy, bringing together representatives from different sectors, including the private sector, government, health workforce, health system leadership and citizens, to successfully mobilize their diverse expertise and co-design practical solutions to support supply chain resilience in Canada.
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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 | 0.015 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.031 | 0.011 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.004 | 0.019 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".