Creación de una Empresa Exportadora de Frutas Exóticas a Canadá, Lima 2017
Bibliographic record
Abstract
The internationalization and the advancement of multilateral alliances in Latin America allows us to grow industrially with the use of resources of our environment, which must be exploited as the root of consummation and of the service for which it meets the needs, and at the same time demand other countries. In the same way it will allow generating opportunities to strengthen our economy. \nThe production must be observed another perspective, with a more ingenious and audacious perception that makes it possible to create new products as well as new companies and that strategic agreements are used as an instrument for the development of these activities and presents major projects generating solidity in our economy. \nThe business culture in our country is gradually transforming, because companies present as offer variety of products that are valued for their nutritional contribution and abundance. \nThe present work is oriented to present to the market the offer of exotic fruits, native of our Peruvian Jungle. \nThe consumption of exotic fruits such as Camu camu, The Pitahaya, and acai has been a worldwide trend, due to the diverse nutritional and antioxidant properties that this type of fruits have in favor of Health, which are taking great importance at an international level. It should be noted that the exotic fruits object of the present work come from the regions of the Jungle as Amazonas, Loreto and Ucayali. \nThis performance of exotic fruits has had and has consequences of the sustainable execution of fruit production in the departments of the Peruvian Jungle in observation of not being able to adequately and systematically satisfy the demand of the International market and meet the regional requirements of the International market. \nIn conclusion we can affirm that the fruit industry in our country is in frank growth in a general way, taking in the exportation of exotic fruits a good performance. Large-scale fruit processors support operations by importing frozen and condensed fruit pulp from different regional sources. \nThis work will evaluate as a destination of exports of exotic fruits to Canada, also presenting that there are potential demands in the markets of North America and Europe.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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".