NAFTA intra‐industry trade in agricultural food products
Bibliographic record
Abstract
Abstract This paper focuses on NAFTA's impact on intra‐industry and inter‐industry trade in agricultural food products. Bilateral trade among the United States, Canada, and Mexico and their trade with the rest of the world during 1990 and 1995 are investigated. The study shows that U.S. trade patterns for agricultural food products are slowly changing. The proportion of the intra‐industry trade was higher for food products involving a greater degree of processing, whereas trade in bulk commodities with little or no processing was predominantly inter‐industry. U.S.–Canada bilateral trade has been increasingly more dominated by intra‐industry trade. On the other hand, Mexican bilateral trade with both the United States and Canada has been predominantly inter‐industry in nature. The study also indicated a decline in the proportion of intra‐industry trade in U.S. trade with the rest of the world during this period. [EconLit citations: F120, F190]. © 2001 John Wiley & Sons, Inc.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".