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Record W3093018923

Identificación de mercados potenciales para la exportación de sandía colombiana

2020· dissertation· es· W3093018923 on OpenAlexaboutno aff
Jhaider Agustín Calderón-Ruiz, María Camila Ulloa-Cely

Bibliographic record

Venuereponame:Repositorio Institucional UniARI · 2020
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePer capitaPhysicsPopulationPhilosophySociologyDemography
DOInot available

Abstract

fetched live from OpenAlex

El objetivo del proyecto se orienta a la identificacion de las oportunidades comerciales que tiene la sandia colombiana en el mercado internacional. El desarrollo del anterior proceso se dividio en tres etapas que permitieron el cumplimiento del principal objetivo. Como primera medida se llevo a cabo el analisis macro y micro del sector, subsector y producto, donde se observo detalladamente la produccion con sus ventajas y desventajas, asi mismo el consumo y el crecimiento, con el fin de conocer su capacidad productiva. En segunda instancia, se logro elegir el mercado potencial internacional mas viable y con mejores condiciones para la exportacion de sandia colombiana, teniendo en cuenta las variables de poder adquisitivo per capita, indice de precios de importacion, acuerdos comerciales y normatividad, poblacion y cercania geografica de 4 paises, donde gracias al modelo implementado Way Station y la matriz de ponderacion aplicada, se comparo y determino a Canada como mejor opcion para el proceso de exportacion. Por ultimo, se establecieron dos estrategias de penetracion al mercado, la primera estrategia la distribucion selectiva y la segunda el “pull” ya que la sandia debido a su publicidad y por ser una fruta exotica, hace que la poblacion canadiense en su mayoria demande el producto, lo que conlleva a los distribuidores y minoristas a comprar el producto colombiano.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.026
GPT teacher head0.264
Teacher spread0.238 · 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 designBench or experimental
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
Published2020
Admission routes1
Has abstractyes

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