Ethical Review of Health Promotion Program Evaluation Proposals
Bibliographic record
Abstract
Some policies state that program evaluation falls within the domain of administrative research that does not require review by an ethics review board. We propose that some health promotion program evaluations include at least one element of research and can be distinguished from quality assurance. Although American and Canadian evaluation societies provide important guidelines and standards for evaluation practitioners, processes for accountability to the public are provided by research ethics boards. The field of health promotion is, by its nature, replete with challenges to existing research ethics boards. Given the dearth of published literature on the ethics of health promotion evaluation or practice, the field could benefit from the open debate that reviews of proposals would encourage.
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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 | 0.553 | 0.688 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.008 | 0.015 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.019 | 0.017 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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; the direct Gemma label and the distilled Codex classifier 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".