Working Draft- Please Do Not Quote The Dragon in Aztec Lands
Bibliographic record
Abstract
The Chinese economic transformation has implied such a succesful process, that in aproximately 25 years the People’s Republic of China has become the main foreign investment destiny –only behind the United States1-, the sixth largest economy and the third one in terms of commerce. Mexico, in contrast, has remained within a process initiated eleven years ago: a continous linkage with the United States and Canada through the North American Free Trade Agreement (NAFTA). The place in which the Mexican and Chinese paths cross is double: an internal one for Mexico –the continuous increase in the Chinese imports towards Mexico- and, an external but fundamental one, precisely the confrontation for the United States market. While in 1990 China only had a participation in the United States economy of 3.1%, Mexico represented almost the double with 6.1%. Nevertheless, this situation has changed substantially. China holds today the largest superavit in the world in its trade balance with the United States, while Mexico lost regardless of NAFTA, from 2000 until today, more than 270,000 manufacturing jobs in part because of the relocation of factories to countries like China. Most of the literature found on the subject treats the Mexican situation as one in risk with the Chinese entry to the NAFTA region. Dauderstät and Jürgen (2004) make a study of the implications of the Chinese globalization and emphasize the possibilities other countries have to counteract the risks that derive from such process. On the other hand, Arellano (2005) makes a revision of the growth China has had and the areas of competitiveness the Dragon has with
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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.480 | 0.254 |
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".