Características de la asociatividad aplicada a la producción de tuna en comunidad de la Huaraclla distrito de Jesús para la exportación de cosméticos a la ciudad de Quebec – Canadá, 2017 (Tesis parcial)
Bibliographic record
Abstract
ABSTRACT In the present research work, it consists in describing the characteristics of the associativity applied to the production of prickly pear in the Huaraclla community of the District of Jesus for the export of cosmetics to the city of Quebec - Canada in 2017. The methodology of the research was carried out under the non-experimental descriptive design, obtaining information from various primary and secondary sources, coordination interviews with those responsible for the development of the Tuna production of the Ministry of Agriculture, surveys of the producers and related specialists in the theme The problem of the research is to determine what characteristics associativity applied to the production of prickly pear in the Huaraclla district of Jesus for the export of cosmetics to the city of Quebec - Canada, 2017. The characteristics of associativity developed by the tuna producers in the Huaraclla community of the district that make viable the production and export of tuna-based labials present in the community are teamwork, increased production through the application and development of projects promoted and managed by MINAGRI. The above favored for the formulation of conclusions, which aim to help the producer of tuna to obtain an overview of the conditions and current characteristics of their production, marketing, as well as the creation of value through the process of manufacturing their raw material. The business plan is viable with a VAN of S/. 125 433.20 and a TIR of 30%, the total investment of the project is S /. 151 422, 000, the sale price of the product is $ 3.86 Keywords: Tuna, Associativity, Cosmetics.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".