Rethinking Agricultural Trade Relationships in an Era of Globalization
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
Agricultural trade plays an important role in global food security and resource sustainability. Global food commodities trade is worth more than US$520 billion per year, could feed approximately two billion people, uses about 13% of worldwide cropland and pasture, and has geographically concentrated irrigation water demands. However, researchers rarely compare these monetary, nutritional, and resource metrics, which limits our ability to holistically evaluate the drivers and implications of trade. We found that each metric suggests distinct conclusions about the geography of globalized agriculture. For example, traded animal products have a disproportionate influence according to value-based and embodied pasture metrics. Traded wheat, soybean, and maize contain the most calories, use the most cropland, and strongly influence irrigation water consumption. We typify engagement in trade by assessing how countries allocate cropland to domestic versus foreign demand. Simultaneous consideration of multiple metrics could enhance decisionmaking surrounding trade by capturing the complex biophysical and economic context of agricultural globalization.
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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 | 0.000 |
| 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 | 0.001 |
| 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