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Record W2886154436

Situación del sector hortofrutícola en Colombia que le impide satisfacer la demanda en el mercado canadiense, el caso de la uchuva (Physalis peruviana)

2018· dissertation· es· W2886154436 on OpenAlexaboutno aff
Ingrid Paola Ortegon Gonzalez, Juan Manuel Torres González

Bibliographic record

Venuenot available
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceCartographyGeographyArt
DOInot available

Abstract

fetched live from OpenAlex

La presente investigacion analiza el sector hortofruticola de Colombia, tomando como base la produccion de uchuva, ya que este es uno de los productos con mayor potencial de exportacion en el pais, no obstante, presenta varias falencias a nivel interno que le impiden aprovechar su potencial en los diferentes mercados internacionales. Para este analisis se tomo como referencia la exportacion de uchuva hacia Canada, debido a que es un buen mercado para este producto, los consumidores canadienses son fuertes demandantes de uchuva, sobretodo de origen colombiano. El desarrollo de este proyecto de investigacion se basa en el modelo de competitividad de Esser Klaus, especificamente el nivel micro y macro, ya que el analisis de estos permite conocer que esta pasando con el sector de la uchuva , asi mismo, permite identificar las oportunidades y falencias que se pueden encontrar a nivel interno y externo, en donde, a nivel interno(micro),se analiza la produccion de pequenos, medianos y grandes empresarios, productividad, innovacion, eficiencia, calidad; y en el nivel externo(macro), se analizan factores gubernamentales, como los subsidios que ofrece el gobierno a los productores, oportunidades de la firma del TLC entre Colombia y Canada, proyectos y programas de gobierno que benefician o afectan a los productores del Agro Colombiano, particularmente los productores de uchuva, ademas de temas de restitucion de tierras. Finalmente se presentan alternativas de solucion que pueden ayudar al crecimiento del sector interno y asi mismo el aumento de las exportaciones a Canada.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.673
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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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