Rose's population strategy of prevention need not increase social inequalities in health
Why this work is in the frame
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Bibliographic record
Abstract
Geoffrey Rose's 1985 paper, Sick individuals and sick populations, continues to spark debate and discussion. Since this original publication, there have been two notable challenges to Rose's population strategy of prevention. First, identification of high-risk individuals has improved considerably in accuracy, which some believe obviates the need for population-wide prevention strategies. Secondly, and more recently, it has been suggested that population strategies of prevention may inadvertently worsen social inequalities in health. We argue that population prevention will not necessarily worsen social inequalities in health, and the likelihood of it doing so will depend on whether the prevention strategy is more structural (targets conditions in which behaviours occur) or agentic (targets behaviour change among individuals) in nature. Also, there are potential drawbacks of approaches that focus on discrete populations (i.e. high risk or vulnerable) that need to be considered when selecting a strategy. Although Rose's ideas need to be continually scrutinized, his population strategy of prevention still holds considerable merit for improving population health and narrowing social inequalities in health.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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