Finance for Agriculture or Agriculture for Finance?
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
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.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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