Public Health: Pathways for an ecological transition
Bibliographic record
Abstract
Background The advent of the Anthropocene era calls for urgent and unprecedented action from all parts of society. Solutions for building sustainable and resilient societies already exist. The main question is not what to do, but rather how to implement large-scale, impactful, and positive policies. Objective To identify potential pathways for public health actors to accelerate the ecological transition of societies. Methods We conducted a broad scoping review of recent relevant developments in diverse domains and disciplines: social innovation, ecological transition, sociology, urban studies, political sciences, and psychology. The analysis was anchored in a realist approach focused on the solutions put forward to achieve an ecological transition, their risks, and the change models envisioned by the authors. This analysis led us to identify pathways for an ecological transition through public health action. The end product is a conceptual framework for action. Results Solutions for building sustainable societies already exist, across various sectors of activity. Nevertheless, too often these initiatives are on a small scale, cannot be propagated on a larger social scale, and tend to increase inequities. We propose an action framework for public health that involves adopting a new value – sustainability – in addition to health promotion and equity, setting new targets for action, and reframing key messages. We present this framework and discuss its implications for concretely redesigning public health action. Conclusions Public health has a critically influential role to play in building sustainable and resilient societies. This presentation offers important information for reframing its action in an ecological perspective. Key messages: For a good Anthropocene, we need to revisit public health values and action. Practical solutions are proposed for public health action.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 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".