Food security, obesity, and inequality: Measuring the risk of exposure to the neoliberal diet
Bibliographic record
Abstract
Abstract In reviewing the so‐called obesity “epidemic”, we critique the individual‐focused explanations that also lead to interventions at this level. Instead, we suggest a different possibility: that food choices are structurally conditioned by income inequality, first; and, second, that we eat what huge oligopolistic food producers and distributors have on offer, which is in turn shaped or facilitated by neoliberal state intervention. To highlight the relevance of structural factors, we develop an index that measures the risk of exposure to what we call the “neoliberal diet” for low‐to‐middle‐income working classes. Using this index, we compare the United States and Canada, advanced capitalist countries that are also agro‐export powerhouses, with a group of countries including the BRICs (Brazil, Russia, India, and China) plus Indonesia, Mexico, South Africa, and Turkey. We conclude that state interventions need to refocus on reducing social inequality and the social determinants of food production and distribution. Transcending individualistic and consumption approaches will help us appreciate that the state, not the individual consumer, is best positioned to implement change when it comes to food “choices” and food production.
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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 | 0.003 | 0.001 |
| 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".