Bibliographic record
Abstract
As political and economic reforms swept through Central America, leaders who once sought to distance themselves from the United States now began to forge closer ties with the U.S. Like many other Middle and South American countries, Mexico was in the process of privatizing its economy and actively sought foreign investment in order to stimulate development. Encouraged by the 1989 free trade agreement signed between Canada and the U.S., Mexico and the U.S. began negotiations over what would become the North American Free Trade Agreement, however domestic concerns about the agreement from both sides hindered the negotiation process. In the U.S., critics claimed any free trade agreement would cost American jobs, while proponents trumpeted the agreement as a way to bolster the economy and make the United States more internationally competitive with Japan. On the other side of the border, Mexican lawmakers sought to balance the need to expand Mexico's markets with the fear of reducing their country to a source of cheap labor for the U.S. Will a free trade agreement encourage more liberal global trade, boosting both the Mexican and American economies, or will it cost American jobs and limit Mexican advancement? In this episode, Peter Hakim of the Inter-American Dialogue and Mexican Journalist Jose Manuel Nava discuss the state of Latin American economies, as well as the proposed trade agreement's potential ramifications.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 teacher head, 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".