Nafta: More Than A Regıonal Trade Agreement
Bibliographic record
Abstract
Trade is one of the fundamental reasons underlying the relationships between societies. Commercial interactions have contributed to the establishment of a specific international system worldwide through the trade relations between empires and states. In the 20th century, interstate trade led to the formation of certain agreements, some of which gave rise to regional-scale trade alliances. The North American Free Trade Agreement (NAFTA) is one of the regional trade agreements documented among North American countries, holding significant importance not only in increasing trade volume among signatory nations but also in terms of fostering regional cooperation and closer political relations.Despite being criticized by many since its signing date, NAFTA underwent substantial changes in 2020 and was restructured under the name The United States-Mexico-Canada Agreement (USMCA). Despite controversies and criticisms, NAFTA played a significant role in strengthening regional economic, social, and political ties, becoming one of the prominent examples of the rising regional trade agreements worldwide after the 1990s. In this study, the motivation behind NAFTA's inception, its historical development, member countries, and the positive impacts on the region are discussed. The contributions of NAFTA to the North American economy and regional development are examined through the analysis of gathered data, reports, and academic studies. The study aims to discuss the findings on the impact of NAFTA not only as a trade agreement but also on regional social and political developments.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".