Political economy of the US–Mexican tomato trade agreement
Bibliographic record
Abstract
Abstract We develop a political economy model to analyse the US–Mexican tomato trade agreement by treating the minimum import price as a negotiated settlement. We incorporate the special characteristics of the US–Mexican tomato dispute, namely trade among large countries, the role of competing fresh and processed tomato lobbies, quota revenues accruing to Mexican producers, bargaining for a minimum import price rather than a tariff, and the role of the Canadian tomato market. We show the importance of the size of the lobby group's supply, the weight elected officials' place on national welfare, and the elasticities of export supply and import demand in determining the optimal price wedge. For the United States, larger fresh tomato or cherry–grape tomato supply intensifies the degree of protection awarded to US growers, while US processors work to mitigate this effect. From Mexico's perspective, larger Mexican fresh or cherry–grape output induces a push towards free trade due to the agreement's depressing effect on Mexican prices, while Mexican processors and quota revenues exacerbate the price wedge.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".