Bibliographic record
Abstract
Colombia, a partir de 1990, inicia un plan de gobierno enfocado en la apertura economica, con estrategias que propugnaban por un cambio en el modelo economico a traves de politicas como la reduccion de aranceles a las importaciones y otra serie de medidas proteccionistas, flexibilizacion laboral, la reduccion del papel del Estado para darle protagonismo al sector privado y procesos de privatizacion de empresas publicas En este entorno internacional se ha adquirido conciencia de que, en un mundo globalizado y cada vez mas interdependiente, no puede haber espacio para “aventuras solitarias de Estados soberanos”, lo que justifica la proliferacion de organizaciones multilaterales en America Latina y el Caribe en la ultima decada. Recientemente Colombia ha mostrado su interes en entrar a formar parte de un bloque economico de gran relevancia a nivel internacional: el Transpacific Partnership Agreement (TPP); tratado integrado por: Canada, Estados Unidos, Mexico, Peru, Chile, Japon, Vietnam, Malasia, Singapur, Brunei, Australia y Nueva Zelanda, representando el 35% del PIB mundial y el 11% de la poblacion. El presente trabajo pretende presentar una vision objetiva del TPP, generando el espacio para la libre interpretacion de sus beneficios o perjuicios. Para ello, se analiza el estado actual del TPP con sus principales indicadores, su desempeno en los ultimos anos y las relaciones diplomaticas y los flujos comerciales entre Colombia y los paises miembros del mismo.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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 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".