Analysis of the policies and measures adopted in the world and in Colombia against the practice of dumping in the steel sector
Bibliographic record
Abstract
In a globalized market such as the current world market, several modalities of price manipulation are carried out in the commercial scenario, which gives an option to companies falling into committing unfair trade practices, for this reason since the Last century Dumping has been a subject of great importance for treaties and agreements, at work a detailed study of the history of anti-dumping duties was made of how since 1904 in Canada the first law was promulgated and countries like NZ, AUS, SOA also followed this initiative in order to counter unfair practices, in the case of United States the Sherman Act was published to combat monopolies and monopoly attempts in trade, obtaining its first Anti-Dumping Law in subsequently articles, conferences, documents were published , letters, where Dumping was a relevant issue for the legislation of the countries. The anti-dumping codes are referred to a procedure for the adoption of anti-dumping measures and concepts necessary and applicable to them. The main cases of Dumping in the steel sector are also described, showing the countries involved date and duration of these measures. In the second chapter, the growth and falls of the steel industry are shown, making a detailed study for years of the eventualities that have affected this sector, focusing on the main producers and Colombia. Important statistics are shown to show the market share of the countries over the years. The third chapter recounts the cases of Dumping that have occurred in Colombia during the study period of the steel sector, showing how Colombia has been directly affected by this practice, which in most studies has shown existence of Dumping and relevant measures have been taken. In addition to this, an analysis of the anti-dumping applications is made against situations where measures have been taken, emphasizing the sector and showing that this industry is where most proven cases are presented.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".