U.S. National Security Implications of Chinese Involvement in Latin America
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In this monograph, the author argues that China's pursuit of long-term strategic objectives is leading the country to increase its presence in Latin America, with serious national security implications for the United States. Sustained Chinese economic growth requires ever greater quantities of basic commodities such as petroleum products, coal, iron and steel, and strategic minerals. As the new generation of Chinese leadership under Hu Jintao has moved away from the more cautious approach of his predecessor, Jiang Zemin, China has begun to aggressively court Latin America as its principal source of supply outside Asia. Figures from the Chinese National Statistics Office show that, for example, 77 percent of all Chinese foreign investment outside Asia in 2003 went to Latin America. The pattern of Chinese investment in countries such as Argentina, Brazil, and Chile suggests that the Asian giant is seeking to assure access to critical commodities by constructing vertically integrated supply networks over which it has leverage. China is purchasing interest in key Latin American suppliers such as the Canadian minerals firm Noranda, or the Argentine oil subsidiary PlusPetrol Norte. It is also building cooperative relationships with supplier governments such as the joint oil exploration and refinery construction deals signed with Venezuela and Brazil in 2004. Where necessary, China is also investing in the infrastructure of Latin American countries to help them more effectively bring their products to market.
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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 | 0.001 | 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) | 0.003 | 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 it