Bibliographic record
Abstract
The proposed North American Free Trade Agreement (NAFTA) represents a historic change in relations among Canada, Mexico, and the United States. The effect of the agreement on the three economies has generated controversy and some degree of alarm within each country. In this book, noted trade and development experts review the available literature on the effects of NAFTA on the three member countries and the world trading system. They evaluate how NAFTA will affect areas such as economic growth, employment, income distribution, industry, and agriculture in Canada, Mexico, and the United States; and consider the significance the trade agreement holds for the rest of the world. Drusill K. Brown begins the discussion by providing an overview and comparison of the general results from recent studies. Raúl Hinojosa-Ojeda and Sherman Robinson explore in greater detail the potential effects of NAFTA on wages and employment in Mexico and the United States. Sidney Wintrab reviews industry-specific effects of NAFTA, in particular, the environment, the social agenda, and human rights and democracy. Finally, Carlos Alberto Primo Braga considers the implications of NAFTA on the rest of the world. Following each of these chapters, international scholars assess the alternatives and provide recommendations for future research.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.085 | 0.033 |
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".