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Record W7017899784

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

2018· dissertation· en· W7017899784 on OpenAlexaboutno aff

Bibliographic record

Venuerenati · 2018
Typedissertation
Languageen
FieldBusiness, Management and Accounting
TopicLogistics and Transportation Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTunaProduction (economics)Product (mathematics)Value (mathematics)Consumption (sociology)Development planPEAR
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT 
\nIn the present research work, it consists in describing the characteristics of the associativity 
\napplied to the production of prickly pear in the Huaraclla community of the District of Jesus
\nfor the export of cosmetics to the city of Quebec - Canada in 2017. 
\n
\nThe methodology of the research was carried out under the non-experimental descriptive 
\ndesign, obtaining information from various primary and secondary sources, coordination
\ninterviews with those responsible for the development of the Tuna production of the Ministry
\nof Agriculture, surveys of the producers and related specialists in the theme 
\n
\nThe problem of the research is to determine what characteristics associativity applied to the 
\nproduction of prickly pear in the Huaraclla district of Jesus for the export of cosmetics to the
\ncity of Quebec - Canada, 2017. The characteristics of associativity developed by the tuna
\nproducers in the Huaraclla community of the district that make viable the production and
\nexport of tuna-based labials present in the community are teamwork, increased production
\nthrough the application and development of projects promoted and managed by MINAGRI. 
\n
\nThe above favored for the formulation of conclusions, which aim to help the producer of tuna 
\nto obtain an overview of the conditions and current characteristics of their production,
\nmarketing, as well as the creation of value through the process of manufacturing their raw
\nmaterial. 
\n
\nThe business plan is viable with a VAN of S/. 125 433.20 and a TIR of 30%, the total 
\ninvestment of the project is S /. 151 422, 000, the sale price of the product is $ 3.86
\n
\n Keywords: Tuna, Associativity, Cosmetics.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.012
GPT teacher head0.292
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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