Bibliographic record
Abstract
The development of an agreed-upon set of foundational ethical values for the field of public health is ongoing. In this paper we outline key elements of recent convergence on some basic moral precepts that drive public health. We suggest that three elements are particularly useful for anchoring public health practitioners' reflections on public health ethics: 1) the notions of "common" and "professional" morality, 2) an understanding of the practice and content of modern public health and especially its practical, solution-focused orientation, and 3) an appreciation of the history of public health as integrally linked to evolving and contested views of the relationship between citizens, science, and the state. There is broad agreement that governments are stewards of their populations and are responsible for providing conditions that allow for its members to be healthy and productive. Given the role of policy and government in public health, the role of political philosophy likely has a substantial place as we seek a coherent system of ethical justification in our work. The aim here is not to align with one theoretical approach or another, rather, to consider the foundational values of public health practice order to identify the common moral governance of our work. Our profession's morality-the set of norms shared by all public health professionals-is determined by what public health is and what we think it should be. As our aspirations for public health evolve, it is incumbent upon us to engage in reflective discourse to reach a new equilibrium about our moral foundation.
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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 | 0.106 | 0.077 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.011 | 0.091 |
| Scholarly communication | 0.025 | 0.015 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.018 | 0.020 |
| Insufficient payload (model declined to judge) | 0.005 | 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".