Asociatividad de los productores de arveja, maíz y habas en la provincia de Celendín para la exportación de sopa fortificante al mercado de Quebec – Canadá 2018
Bibliographic record
Abstract
ABSTRACT \n \n \n \nThe present investigation was carried out for the producers of the district of Chumuch and Cortegana, \nbelonging to the province of Celendín, who dedicate themselves to the cultivation and harvest of \npeas, corn and beans. The objective of this research is to analyze the associativity of the producers \nof peas, corn and beans in the province of Celendín for the export of Fortifying Soup to the market \nof Quebec - Canada, 2018, with which it is possible to identify the characteristics of associativit y in \nthe producers of peas, corn and beans in said province; we also want to define the export of organic \nsoup to the Quebec market; Make a business plan that allows the production and export of organic \nsoup to the Quebec market. Likewise, the present investigation is a descriptive, non-experimental \ndesign with transversal design, on which it is required to obtain information from surveys of 30 \nproducers and three specialists were interviewed on the subject of associativity and exportation. \nBased on the results of the diagnosis, it was found that the main characteristics of the study indicate \nthat it is important to be associated to emerge in new markets and be able to access new \ntechnologies, acquire knowledge in improving the production process and know how to optimize our \nresources, since individually they could meet the demand demanded by the international market, as \nwell as comply with quality standards and certifications. \nIt is concluded that the best asotiative strategy that producers can choose is the cooperative, with \nthe participation of actors such as public or private institutions in order to promote the sustainable \ndevelopment of their product together with a total integration based on trust, as well as improving the \nquality of life of each one of the producers. \n \nKeywords: associativity, confidence, quality, cultivation and commercialization.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".