Análisis de la ventana de oportunidad del mercado Canadiense y su influencia en las exportaciones Peruanas de Sacha Inchi
Bibliographic record
Abstract
ABSTRACT\nThe following study called ―Analysis of the Canadian’s market window of opportunity and its influence on the Peruvian exports of Sacha Inchi‖, regarding the 2008 – 2012 period, has as its main objective to demonstrate the influence of the Canadian’s market window of opportunity in the Peruvian exports of Sacha Inchi by the 2014.\nThis study is possible due to the increasing demand and interest of the international markets, especially the Canadian market, regarding the organic and functional healthy products such as the Sacha Inchi and its outstanding benefits for the human health and the opportunities that implies for the Peruvian exports success of the mentioned product. In order to accomplish that, it was necessary to analyze: the Canadian consumer profile, the evolution and tendency of the Peruvian exports to the World and Canada during the 2008 – 2012 period, the evolution of the number of enterprises and the number of tariffs heading used for Peruvian exports of Sacha Inchi to the target market, and the Canadian Imports regarding the most representatives tariffs heading used in Peru for the export of the Sacha Inchi to the Canadian market, this way it was possible to demonstrate the success of the Sacha Inchi in the target market.\nIn conclusion, it was possible to conclude that the Canadian’s market window of opportunity will positively influence on the Peruvian exports of Sacha Inchi by increasing them in the 2014, which is why, according to the interviewee experts; it should be used by the Peruvian producers and exporters in order to succeed in the Canadian market.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".