Bibliographic record
Abstract
One of the main tools for the operation of the Free Trade Agreements (FTAs) are the Rules of Origin that allow exporters to be able to take advantage to the preferential tariffs. In the case of a Mexico, such rules were inserted in our legislation firstly, as a result of the North America Free Trade Agreement (NAFTA) and from there after by other trade agreements, and secondly as a tool for exempting the application of dumping duties, principally those applied to China. Mexico has undergo through a process of signing new FTA s as the Comprehensive and Progressive Trans-Pacific Partnership Treaty, as well as the modernization of NAFTA that resulted in the United States, Mexico and Canada Agreement (USMCA) and the FTA with the European Unión. The former has provided for a new rule of Origin in the automotive industry that were the core of the negotiations which turned free trade into a trade administration Trade Agreement. In this article I analyse briefly the rules of origin in such agreements. USMCA, NAFTA, Automotive, CPTPP, Chemicals; Focused Value Method, FTA EU
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 | 0.000 |
| 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) | 0.000 | 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".