Applying the <scp>Ottawa Charter</scp> to guide resilience‐building programs for health care organizations
Bibliographic record
Abstract
Resilience is situated at the core of the World Health Organization European policy framework for health and well-being and the United Nations Sustainable Development Goals. Resilience refers to how effectively a person, group, or system deals with and recovers from challenging situations. In this paper resilience refers to the capacity of a health care professional to manage complex issues and adapt to situations successfully. This brief paper provides explicit knowledge for strengthening personal resilience in health care using the Ottawa Charter framework as a guide. Developing a resilient health care workforce should address all five Ottawa Charter areas of action, should involve multiple stakeholders, and should incorporate resilience strategies into everyday health care activities. The paper presents recommendations for future programs designed to build a resilient workforce that can provide high quality care in a sustainable manner.
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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 | 0.026 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.013 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".