Integrating ethics in public health education: the process of developing case studies
Bibliographic record
Abstract
The study of ethics in public health became a societal imperative following the horrors of pre World War II eugenics, the Holocaust, and the Tuskegee Experiment (and more recent similar travesties). International responses led to: the Nuremberg Doctors' Trials, the Universal Declaration of Human Rights (1948), and the Convention on Prevention and Punishment of the Crime of Genocide (CCPCG, 1948), which includes sanctions against incitement to genocide. The Declaration of Geneva (1948) set forth the physician's dedication to the humanitarian goals of medicine, a declaration especially important in view of the medical crimes which had just been committed in Nazi Germany. This led to a modern revision of the Hippocratic Oath in the form of the Declaration of Helsinki (1964) for medical research ethical standards, which has been renewed periodically and adopted worldwide to ensure ethical research practices. Public health ethics differs from traditional biomedical ethics in many respects, specifically in its emphasis on societal considerations of prevention, equity, and population-level issues. Health care systems are increasingly faced with the need to integrate clinical medicine with public health and health policy. As health systems and public health evolve, the ethical issues in health care also bridge the gap between the separation of bioethics and public health ethics in the past. These complexities calls for the inclusion of ethics in public health education curricula and competencies across the many professions in public health, in the policy arena, as well as educational engagement with the public and the lay communities and other stakeholders.
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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 | 0.212 | 0.242 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.010 | 0.010 |
| Science and technology studies | 0.016 | 0.020 |
| Scholarly communication | 0.018 | 0.024 |
| Open science | 0.011 | 0.027 |
| Research integrity | 0.010 | 0.013 |
| Insufficient payload (model declined to judge) | 0.007 | 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".