Introduction to a Symposium on Global Finance and the Agri‐food Sector: Risk and Regulation
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
This symposium introduction brings together two debates; the debate on global food prices and speculation, and the debate on so‐called global ‘land investment’ or ‘land grabbing’. Both debates are examining two sides of the same phenomenon – the growing role of private financial investors in the global agri‐food value chains and the myriad consequences of it. The symposium moves beyond the identification of finance as an exogenous factor to the trends in the sector. It examines real‐life incarnations of finance in the sector by looking at investment arrangements, including connections with the state, and its (regional) variations. The symposium addresses three main themes. First, it explores the interplay of the state and private finance. It shows that the effect of regulation is limited in the face of increasingly mobile and complex investment flows. Second, it addresses the shifts and transfigurations of risk in the agri‐food sector due to financialization. Third, the symposium discusses to what extent, and how, the origins and identity of farmland investors still matters within an increasingly globalized financial sector. The paper concludes by identifying some related areas for further 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 | 0.000 | 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 it