Blaming the victim or structural conditioning? COVID‐19, obesity and the neoliberal diet
Bibliographic record
Abstract
Abstract The energy‐dense part of the neoliberal diet and obesity made for an explosive combination upon the arrival of the COVID‐19 pandemic. Energy‐dense foods lie at the root of comorbidities associated with complications of the COVID‐19 pandemic: overweight, obesity, diabetes, hypertension and so forth. Multiple medical studies have demonstrated the causal impact of overweight and obesity on more severe or lethal infections. Focusing on the case of Mexico, I will show that inequality strongly conditions what people can eat, so the issue is not simply a matter of personal choice or responsibility. My argument is twofold: (1) Mexico enjoyed its own ‘traditional’ diets through the mid‐1980s, which included widely accessible fruits and vegetables. But (2) the neoliberal turn in the form of trade liberalization and deepening inequality caused a substantial reshaping of the diet in favour of energy‐dense foods with lower nutritional value. The energy‐dense segment of ‘the neoliberal diet’ has turned a large portion of Mexicans into a vulnerable population. But this is a class‐differentiated diet with its healthy and nutritious components increasingly less accessible to the working classes. Recovering healthy diets in Mexico will require the recuperation of food sovereignty through the regeneration of its countryside and its peasantry. Agroecological methods of food production will also be needed to alleviate the climate change emergency.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".