Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A major challenge for food scholars is how they can explain the evolution of a global food system where distant social actors, ecologies, and places have complex, and often contradictory, relations. In particular, scholars face the difficult task of providing an account of food system change that is at once theoretically sophisticated, historically grounded, and holistic in its perspective. A leading example of this type of approach is food regimes analysis, which is anchored in historical political economy. The food regimes approach views agriculture and food in relation to the development of capitalism on a global scale, and argues that social change is brought about by struggles among social movements, capital, and states. The concept of food regimes was introduced by Harriet Friedmann and Philip McMichael in an article in which they addressed the changing role of food and agriculture in the development of global capitalism since 1870. Food regimes analysis combines two strands of macro-sociological theory: regulationism and world-systems theory. This article examines the theoretical, empirical, and methodological contributions of food regimes analysis, and looks at some of the latest developments in food regime theorizing and research.
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.
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 | 0.001 | 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 it