Tratamiento De Las Políticas Antidumping En El Marco De La Omc Y Los Tratados De Libre Comercio Firmados Y Ratificados Por Colombia Con Canadá, República De Corea Y Estados Unidos De América (Treatment of Anti-Dumping Policies within the Framework of the WTO and Free Trades Agreements Signed and Ratified by Colombia with Canada, Republic of Korea and the United States of America)
Bibliographic record
Abstract
Spanish Abstract: Los acuerdos de libre comercio (TLC) se han convertido en una importante herramienta para el desarrollo de la vida comercial y social de las naciones, ya que promueven la reduccion de aranceles, la produccion y la promocion del crecimiento economico del pais, pero ademas abren la puerta a la generacion de economias a escala, a la especializacion de la produccion interna y al aumento del comercio nacional. Es por esto que hoy por hoy resulta de particular importancia estudiar el marco regulatorio de dichos acuerdos que puede enfocarse en distintos aspectos, por lo que el presente documento abordara el analisis de uno de ellos, esto es, de las politicas y normas dirigidas a corregir y eliminar los efectos negativos que las practicas desleales o practicas dumping que pueden llegar a causar en el desarrollo del pais y de las empresas nacionales. English Abstract: The Free Trade Agreements (FTA) have become an important tool for the commercial and social development of the nations, that promotes the reduction of taxes, production and promotion of economic growth, and also opens the door to generate economies of scale, specialization of domestic production and increases domestic trade. That's why today is particularly important the study of the regulatory framework of such Agreements, which includes different and varied aspects. This document will try to focus in just one of them, which is the norms and policies directed to correct and eliminate the negative effects that dumping practices may cause in the country and the national companies development.
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 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".