The COVID‐19 pandemic and agriculture: Short‐ and long‐run implications for international trade relations
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 The COVID‐19 pandemic has put unprecedented strain on food supply chains. Given the ever‐increasing degree of globalization, those supply chains very often stretch across international borders. In the short run, countries have largely been working to keep those supply chains intact and operating efficiently so that panic buying is cooled and shifts in consumption habits arising from personal isolation can be accommodated. Once the crisis has passed, based on what has been learned regarding the international food system's resilience, governments may wish to strengthen institutions that govern international trade. On the other hand, based on their COVID‐19 experience, governments may feel that they are too dependent on foreign sources of supply and may wish to reverse the impacts of globalization on their food systems. As a result, they may become increasingly isolationist, eschewing international cooperation. Which of these opposing forces will prevail may depend on the paths economies follow after the disequilibrium precipitated by the pandemic.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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