The Effects of NAFTA on Trade and Welfare in the U.S. Fresh Tomato Industry
Bibliographic record
Abstract
The purpose of this study was to measure NAFTA's impact to date and quantify how the producers and consumers of fresh tomatoes in the United States, Canada and Mexico have benefited or lost. Changes in consumer and producer surpluses were calculated in 2001 US dollars based on simulations of two scenarios. The analysis found that U.S. consumers captured $12.1 billion more surplus than they would have captured had NAFTA not been enacted. Mexican fresh tomato producers gained an additional $2.08 billion in surplus due to NAFTA. In contrast to Mexican growers, U.S. and Canadian producers appear not to have benefited economically from NAFTA. Findings suggest that U.S. producers would have earned $3.29 billion more if NAFTA had not gone into effect. Canadian producer surplus with NAFTA was estimated to be approximately $20 million less with NAFTA, and the total net benefit from NAFTA was found to be a positive $10.87 billion.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".