From perpetual pilots to sustainable transformation: Scaling up geriatric care
Bibliographic record
Abstract
With an ageing population, there is an increasing need to focus on the care of older adults, particularly those who are more medically complex. Frail older adults are more likely to require care from multiple providers across multiple settings. It is well recognized that the current Canadian healthcare system is not well-designed for this complex population. To address the health system challenges, health leaders are rapidly developing and implementing programs to better support the ageing population. Unfortunately, this often means that organizations are implementing and scaling health and social care programs with limited evidence or understanding of the specific context in which it was implemented. Drawing on regional experiences, this article will explore challenges and offer solutions related to the implementation, spread, and scale of healthcare programs for older adults.
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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 | 0.052 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.021 |
| Scholarly communication | 0.016 | 0.020 |
| Open science | 0.006 | 0.043 |
| Research integrity | 0.006 | 0.014 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".