Bibliographic record
Abstract
We live in a world capable, in principle, of providing a diverse and healthy diet for all, and yet one quarter of its people suffer from frequent hunger and ill health generated by a diet that is poor in quantity or quality or both. Another quarter of the world’s population eats too much food, food that is often heavy with calories and low on nutrients (colloquially called ‘junk food’). This quarter of the world’s population risks diabetes and all of the other chronic illnesses generated by obesity. Study after study in recent years has come to the conclusion that the single most important factor in human health is diet, and diet is something we can shape. Cheap food is important to capitalism because it allows wages to be lower (and thus profits to be higher) and yet leave workers with more disposable income available to buy other commodities. In this short essay most of my examples come from the US, because, as the most hegemonic capitalist power in the world, it has done the most to shape the global food system. But I don’t want to give the impression that there is one tightly integrated capitalist world food system. Even in the US, capitalism has not entirely subsumed the whole food system, and while there are few places in the world untouched by capitalism, its degree of hegemony may vary a great deal. Still, up to the present, capitalism has been the single strongest force shaping the global food system, and much of that shaping power has flowed outward from the US.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".