Bibliographic record
Abstract
Following the end of the Cold War, the hegemony of the United States in Latin America was intimately related to the globalization of the hemispheric political economy. Free-trade agreements (FTAs) were crucial to this process, helping to extend and entrench the neoliberal model. As a result of the region’s political turn to the left during the 2000s, however, the Washington Consensus became increasingly untenable. As U.S. trade policy subsequently moved in the direction of a “post-Washington Consensus,” the “Pink Tide” fostered the creation of Latin American-led approaches to integration independent of the United States. In this context, the Trans-Pacific Partnership (TPP) was designed to catalyse a new wave of (neo)liberalization among its 12 participating countries, including the United States, Canada, Chile, Peru, and Mexico. The TPP codified an updated and comprehensive set of rules on an array of trade and investment disciplines not covered in existing agreements. Strategically linking the Asia-Pacific to the Americas, but excluding China, the TPP responded to China’s growing economic presence in Asia and Latin America. Largely a creation of U.S. foreign economic policy, the United States withdrew from the TPP prior to its ratification and following the election of Donald Trump as U.S. president. The remaining 11 countries signed a more limited version of the agreement, known as the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP), which is open to future participation by the United States and other countries in Asia and Latin America. The uncertainties in the TPP process represented the further erosion of Washington’s “free trade” consensus, reflecting, among other things, a crisis of U.S. hegemony in the Americas.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".