The self-reinforcing dynamics of economic insecurity and obesity
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
This article models the dynamic effects of economic insecurity on body weight. Using Australian panel data, we infer an individual’s level of economic insecurity as a function of exposure to various financial risks and employ regression equations to explore its effect upon current period body mass index (BMI) scores. Estimates reveal that a sustained standard deviation increase in economic insecurity raises an individual’s BMI at a rate of approximately 0.35 units per year. Quantile regressions are then used to estimate the sensitivity of body weight to insecurity at different percentiles of the distribution and we find that persons who are overweight and obese are much more seriously affected. This implies that shocks that make individuals more financially vulnerable can generate harmful self-sustaining cycles of risk and weight gain. We also model the dynamics of insecurity and show that it is a persistent phenomenon for persons with high levels of exposure and lower incomes. This finding indicates that persons of lower socio-economic status are more likely to encounter vicious cycles of increasing insecurity and obesity, which partially explains why weight-related health problems are unusually highly concentrated amongst these individuals.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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