Bibliographic record
Abstract
At the Summit of the Americas held in December 1994, 34 hemispheric democracies agreed to create a "Free Trade Area of the Americas" (FTAA) no later than 2005.If created, the FTAA would be a $13 trillion market of 34 countries (Cuba is not included) and nearly 800 million people.The population alone would make it the largest free trade area in the world with more than twice the 375 million of the now 15-nation European Union.In the 8 years following the 1994 summit, Western Hemisphere trade ministers have met seven times to advance the negotiating process.At the sixth meeting in Buenos Aires in April 2001, ministers made public a draft FTAA agreement that included preliminary chapters on all nine negotiating groups: market access, agriculture, intellectual property rights, services, investment, government procurement, competition policy, dispute settlement, and subsidies.Since the seventh Ministerial held in Quito, Ecuador in November 2002, the United States and Brazil have assumed co-chairmanship of the negotiations.How these two countries resolve their outstanding differences will have a huge bearing on the outcome of the FTAA process.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.542 | 0.511 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".