Can health equity survive epidemiology? Standards of proof and social determinants of health
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: This article examines how epidemiological evidence is and should be used in the context of increasing concern for health equity and for social determinants of health. METHOD: A research literature on use of scientific evidence of "environmental risks" is outlined, and key issues compared with those that arise with respect to social determinants of health. RESULTS: The issue sets are very similar. Both involve the choice of a standard of proof, and the corollary need to make value judgments about how to address uncertainty in the context of "the inevitability of being wrong," at least some of the time, and to consider evidence from multiple kinds of research design. The nature of such value judgments and the need for methodological pluralism are incompletely understood. CONCLUSION: Responsible policy analysis and interpretation of scientific evidence require explicit consideration of the ethical issues involved in choosing a standard of proof. Because of the stakes involved, such choices often become contested political terrain. Comparative research on how those choices are made will be valuable.
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.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it