Bibliographic record
Abstract
Abstract Latin American foreign policy has drawn the attention of scholars since the 1960s. Foreign policy–related literature began to surge in the 1980s and 1990s, with a focus on both economic and political development. As development in the region lagged behind that of its northern neighbors, Latin American had to rely on foreign aid, largely from the United States. In addition to foreign aid, two of the most prevalent topics discussed in the literature are trade/economic liberalization and regional economic integration (for example, Mercosur and NAFTA). During and after the Cold War, Latin America played a strategic foreign policy role as it became the object of a rivalry between the United States and the Soviet Union hoping to expand their power and/or contain that of the other. This role was also explored in a considerably larger body of research, along with the decision of Latin American nations to diversify their foreign relations in the post–Cold War era. Furthermore, scholars have analyzed different regions/countries that have become new and/or expanded targets of Latin American foreign policy, including the United States, Canada, Europe, Asia, and the Middle East. Despite the substantial amount of scholarship that has accumulated over the years, a unified theory of Latin American foreign policy remains elusive. Future research should therefore focus on the development of a theory that incorporates the multiple explanatory variables that influence foreign policy formulation and takes into account their relative importance and the effects on each other.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.012 |
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".