Evaluating Equity Critiques in Food Policy: The Case of Sugar-Sweetened Beverages
Bibliographic record
Abstract
Many anti-obesity policies face a variety of ethical objections. We consider one kind of anti-obesity policy - modifications to food assistance programs meant to improve participants' diet - and one kind of criticism of these policies, that they are inequitable. We take as our example the recent, unsuccessful effort by New York State to exclude sweetened beverages from the items eligible for purchase in New York City with Supplemental Nutrition Support Program (SNAP) assistance (i.e., food stamps). We distinguish two equity-based ethical objections that were made to the sweetened beverage exclusion, and analyze these objections in terms of the theoretical notions of distributive equality and social equality. First, the sweetened beverage exclusion is unfair or violates distributive equality because it restricts the consumer choice of SNAP participants relative to non-participants. Second, it is disrespectful or violates social equality to prohibit SNAP participants from purchasing sweetened beverages with food stamps. We conclude that neither equity-based ethical objection is decisive, and that the proposed exclusion of sugar-sweetened beverages is not a violation of either distributive or social equality.
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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 | 0.044 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.006 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".