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Record W2121126125

La producción científica en Venezuela: Cantidad Vs. Calidad

2010· article· es· W2121126125 on OpenAlexaboutno aff
Roy D. Meléndez

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceVenArt
DOInot available

Abstract

fetched live from OpenAlex

proceso de la produccion de conocimientos esta conformado por una secuencia de hechos o “compendium” que se extiende desde que se escribe el anteproyecto de investigacion, se presenta al ente financiador y se ejecutan en el campo o en el laboratorio los experimentos, hasta que se redacta la publicacion cientifica generada por ese anteproyecto, se envia a una revista arbitrada e indizada para su evaluacion y finalmente el o los autores ven el trabajo impreso y publicado en el ultimo numero de la revista seleccionada. Simultaneamente, los conocimientos ineditos presentados en esa publicacion pueden o no generar una patente o bien una aplicacion util para el entorno de usuarios o ser usada como base para continuar nuevas investigaciones. Todo pais que desee lograr su independencia tecnologica, cientifica e industrial tiene el compromiso y el deber de apoyar institucional y financieramente a sus centros de investigacion y a sus universidades, asi como a proyectos de investigacion basica y aplicada, a fin de llevar bienestar a la poblacion a traves de la Ciencia. Esto es una realidad diaria en diversos paises desarrollados como los Estados Unidos de America (EUA), Alemania, Inglaterra, Francia, Japon, China, Canada, Australia, Finlandia, Espana, Brasil o Corea del Sur, pero ello no ocurre en los paises subdesarrollados del mundo y especificamente en aquellos de Latinoamerica (Argentina, Colombia, Cuba, Ecuador, Guatemala, Mexico, Nicaragua, Panama, Peru, Uruguay y Venezuela, por ejemplo) por las razones siguientes: 1) El porcentaje de los recursos financieros del Producto Interno Bruto (PBI) en cada uno de estos paises, dedicados por el El ossier. Calidad de las publicaciones cientificas: visibilidad y acceso

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.013
GPT teacher head0.216
Teacher spread0.203 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2010
Admission routes1
Has abstractyes

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