American Trade Restrictions in Light of International Trade Agreements
Bibliographic record
Abstract
This research provides an analytical study of the trade restrictions imposed by the United States of America in light of its obligations under international trade agreements, whether multilateral—such as the General Agreement on Tariffs and Trade (GATT) and the World Trade Organization (WTO)—or bilateral and regional agreements like the United States–Mexico–Canada Agreement (USMCA). The study stems from a core question: To what extent do these restrictions align with the fundamental principles of the international trading system, such as free trade, non-discrimination, and reciprocity? The research is structured into sections that address the conceptual framework of trade restrictions, their tools and strategies, and an analysis of their economic, political, and international impacts, with a particular focus on relations with Canada and the European Union. The researcher adopts a comparative analytical and descriptive methodology, relying on legal texts and actual practices. The study concludes that the United States has exploited certain legal exceptions—such as national security and anti-dumping—to justify the imposition of both tariff and non-tariff barriers. However, these policies, especially during the Trump administration, often conflicted with the spirit of international agreements and provoked trade disputes that weakened the multilateral trading system and undermined global confidence in U.S. commitments. The research recommends reinforcing the United States’ compliance with international trade rules, activating dispute settlement mechanisms, and restoring the balance between national sovereignty and international obligations to ensure the sustainability of free trade and fairness in the global trade order.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".