Canada's healthcare sustainability: A holistic perspective on emerging challenges
Bibliographic record
Abstract
Continued debate on privatization initiatives within the Canadian healthcare system has brought much-needed attention to sustainability issues and the emerging challenges faced by this domain. Predicaments that deal exclusively with public or private health service challenges should not derail healthcare sustainability efforts. Applying an appropriate framework is fundamental for ensuring the success of healthcare sustainability initiatives. Such a framework would not only allow better understanding of sustainability related challenges, but would also pave the way for the deployment of manageable solutions. This paper highlights such challenges and, through the use of a conceptual framework, provides a holistic perspective on how the core components of sustainability can be properly employed in healthcare. The primary objective of a successful healthcare system improvement is not merely to justify the current rate of spending, but to take into account the various aspects of sustainability. The discussion also highlights how sustainability can be leveraged to solve challenges that have a greater consequence, namely, a long-term impact on healthcare.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".