Do economic cycles have a permanent effect on population health? Revisiting the Brenner hypothesis
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
The Brenner hypothesis is essentially that economic cycles, characterized by unemployment and fluctuations in per capita income can have profound negative implications for population health. A number of subsequent studies have identified shortcomings in Brenner's model and have reported results that for the most part contradict his results. This paper argues that the failure to account for the time-series properties (i.e. the potential for unit root behaviour) of macro level data is a key omission in Brenner's and other subsequent studies. To address this omission an error correction model specification was applied to American data for the period 1948-1996. The findings suggest that economic cycles do have a permanent effect on population health. Paradoxically, they also suggest that economic growth and increases in unemployment reduce aggregate mortality risk. A need for measures of economic change that are perhaps more sensitive to the effects of economic cycles on groups that may be at greater risk of unemployment was identified.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it