Mapping the state of play on the global food landscape
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
The global food landscape is changing rapidly. In 2007–08 food prices soared and remained volatile in the following years, effectively leading to a world food crisis that drove tens of millions of people into poverty and hunger. A phenomenal increase in large-scale farmland acquisitions in developing countries by a range of investors is leaving land rights in question for many small-scale producers while land grabbing is also occurring in the global North. There is also growing corporate concentration in the international food industry, from agricultural input firms to trading firms to production and processing and food retail. A changing global climate with associated unpredictable weather and crop yields complicates this picture, as does a steady increase in the application of agricultural biotechnology worldwide. To counter these global forces, communities around the world are imagining and building alternative locally-based and interconnected food systems grounded in the idea of food sovereignty to ensure food security, ecological sustainability and social justice.
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 | 0.001 |
| 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