The curse of modernization? Western fast food and Chinese children's weight
Bibliographic record
Abstract
The income-adjusted price of fast food in China is five times more than in the United States, yet we show that the introduction of Western fast-food restaurants to China still leads to significant weight gain in children. Using the community-year-level presence of Western fast-food outlets, difference-in-differences estimations find a 4.8-percentage-point increase in the prevalence of overweight/obese children after controlling for child and year fixed effects. The effect decreases at a distance of 3-4 km from a fast-food restaurant, and we find no further weight gain 2 years after the restaurant's introduction. The underweight rate is not affected by fast-food introduction. The increase in fat share of energy intake serves as the channel for weight gain. Children in high-income families, younger than 11 years, and girls are more affected than other Chinese children.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".