The G20 and Food Security: a Mismatch in Global Governance?
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 When the G20 took up food security in 2010, many were optimistic that it could bring about positive change by addressing structural problems in commodity markets that were contributing to high and volatile food prices and exacerbating hunger. Its members could tighten the regulation of agricultural commodity futures markets, support multilateral trade rules that would better reflect both importer and exporter needs, end renewable fuel targets that diverted land to biofuels production, and coordinate food reserves. In this article, we argue that although the G20 took on food security as a focus area, it missed an important opportunity and has shown that it is not the most appropriate forum for food security policy. Instead of tackling the structural economic dimensions of food security, the G20 chose to promote smoothing and coping measures within the current global economic framework. By shifting the focus away from structural issues, the G20 has had a chilling effect on policy debates in other global food security forums, especially the UN Committee on World Food Security ( CFS ). In addition, the G20 excludes the voices of the least developed countries and civil society, and lacks the expertise and capacity to implement its recommendations.
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 | 0.001 |
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 it