Beyond Research Ethics: Novel Approaches of 3 Major Public Health Institutions to Provide Ethics Input on Public Health Practice Activities
Bibliographic record
Abstract
Public health institutions increasingly realize the importance of creating a culture in their organizations that values ethics. When developing strategies to strengthen ethics, institutions will have to take into account that while public health research projects typically undergo thorough ethics review, activities considered public health practice may not be subjected to similar oversight. This approach, based on a research-practice dichotomy, is increasingly being criticized as it does not adequately identify and manage ethically relevant risks to those affected by nonresearch activities. As a reaction, 3 major public health institutions (the World Health Organization, US Centers for Disease Control and Prevention, and Public Health Ontario) have implemented mechanisms for ethics review of public health practice activities. In this article, we describe and critically discuss the different modalities of the 3 approaches. We argue that although further evaluation is necessary to determine the effectiveness of the different approaches, public health institutions should strive to implement procedures to ensure that public health practice adheres to the highest ethical standards.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.229 | 0.091 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.010 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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; both teacher heads agree on what is shown here.
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".