Influencing Factors of the United States Renegotiation of the North American Free Trade Agreement (NAFTA) under the Trump Administration
Bibliographic record
Abstract
The United States (US) joined North American Free Trade Agreement (NAFTA) trade regime along with Canada and Mexico to increase trade among members by reducing or eliminating trade restrictions such as tariffs and import quotas.Under the Trump administration, the United States-for the first time-proposed changes to NAFTA and stated it would leave NAFTA if the proposed changes were rejected.This research attempts to elaborate on the factors that influenced US renegotiation of NAFTA, which had been implemented since 23 years.The realist and liberalist approaches are insufficient to explain such behavior because insufficient attention is paid to the role of ideas and social construction.Therefore, the theory used to answer the research question is the international regime theory: a weak cognitivist approach that considers that state behavior in a regime's order is generally based on the ideas and knowledge possessed by the state, the learning process, and the role of epistemic communities.
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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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".