Dynamics of Economic Integration in Venezuela and Their Implications for the FTAA Process
Bibliographic record
Abstract
Caldera participated in the first Summit of the Americas in Miami, Florida.Although Caldera had criticized some aspects of market-oriented economics during his successful 1993 election campaign, the Venezuelan delegation backed the integration initiative central to the Miami summit.In December 1994, along with all thirty-three heads of state in attendance, Caldera signed the Miami Declaration endorsing the negotiation of the Free Trade Agreement of the Americas (FTAA):We, therefore, resolve to begin immediately to construct the [FTAA], in which barriers to trade and investment will be progressively eliminated.We further resolve to conclude the negotiation of the [FTAA] no later than 2005, and agree that concrete progress toward the attainment of this objective will be made by the end of this century.1 Furthermore, during the second half of his presidential term, the Caldera government pursued several market-oriented reforms as part of the Venezuelan Agenda program formed in the wake of an International Monetary Fund (IMF) agreement signed in July 1996.Although Caldera's successor, President Hugo Chdvez, signed the 2001 Quebec City Declaration stemming from the third Summit of the Americas, Venezuela was the only country in the hemisphere to express written reservations regarding its potential support for the FTAA.In late 2005, Chivez participated in the fourth Summit of the Americas in Mar del
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".