TLC Colombia Canadá una apertura a nuevos lazos para el sector agrícola
Bibliographic record
Abstract
Este proyecto da una perspectiva inicial del TLC entre Colombia y Canada en el sector de frutas exoticas, para esto se realizo un exhaustivo pero beneficioso analisis, en el cual se pudo tener una perspectiva desde su entrada en vigencia en el ano 2011 hasta la actualidad, todo con el fin de entender el mercado de ambos paises y como potencializar las necesidades del mismo. El objetivo es dar a conocer las oportunidades, ventajas, desventajas, amenazas y recomendaciones acerca del TLC entre Colombia-Canada especificamente en el sector agropecuario, sub-sector agricola y como entrar a un mercado, el cual llega ofreciendo un producto commodities, para lograr posicionarlo en el mercado Canadiense. Es importante para el proyecto identificar si hay posibilidad para entrar a este mercado y si se tienen nichos los cuales puedan satisfacer las necesidades generadas por las personas, sus comportamientos, cambios culturales y los diferentes procesos de migracion que se han tenido durante los ultimos anos.
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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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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; both teacher heads 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".