Finance for Agriculture or Agriculture for Finance?
Bibliographic record
Abstract
Food studies scholars have paid increasing attention to ‘financialization’ within the food system as private financial actors have played a growing role in various facets of the sector in recent years. While there has been much attention paid to the implications of the greater role for financial actors in the food system, there has been relatively less attention paid to the ways in which these actors have historically interacted with it; in particular, in relation to the role of the state in mediating agricultural finance. This paper examines the long association between agriculture, finance and the state. Historically, private capital has been reluctant to invest in agriculture without assurances and support from the state, and states have practiced varying degrees of regulation on private financiers in the sector. These trends have shaped the practices of contemporary financialization. Although we recognize the systematic political project to reduce the role of the state in agriculture since the 1970s, these patterns persist and we ultimately argue that to understand the financialization of agriculture, it is important to understand how the state has been a long‐standing coupler between finance and agriculture.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".