Action is needed to implement World Health Assembly social participation resolution
Bibliographic record
Abstract
At the 77th World Health Assembly in 2024 governments made a unanimous and unprecedented commitment to put patients, people and communities with lived experience, and healthcare workers at the heart of health policy design, delivery, evaluation, and decision making. 1 The landmark resolution on social participation represents a historic milestone, but emerging challenges now require our collective action to turn opportunity into reality.Social participation has a long history in the theory and practice of public health.Evidence is clear that when people are meaningfully involved in shaping healthcare systems, public trust increases, 2 3 treatment adherence improves, resilience and responsiveness of the healthcare system increases, and wasteful spending reduces.4 Health systems that engage communities with lived experience are more efficient and deliver better patient outcomes.5 The WHA resolution provides a useful underpinning for implementing these participation pathways.
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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 | 0.130 | 0.204 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.009 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.025 | 0.026 |
| Open science | 0.010 | 0.038 |
| Research integrity | 0.122 | 0.086 |
| Insufficient payload (model declined to judge) | 0.071 | 0.017 |
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".