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Prácticas de gobierno corporativo en las Asambleas Generales de Accionistas de empresas listadas en Colombia

2014· article· es· W2118781623 on OpenAlexaff
Gina-Paola González, Alexander Guzmán, Francisco Prada, María Andrea Trujillo Dávila

Bibliographic record

VenueCuadernos de Administración · 2014
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicAccounting and Financial Management
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Este estudio analiza las Asambleas Generales de Accionistas (AGA) bajo el enfoque de gobierno corporativo, caracterizando las asambleas del año 2012 de once empresas colombianas que representan un poco más del 50% del COLCAP. Utilizando la metodología de Apostolides y los lineamientos del Código País, se construyen índices de evaluación respecto al deber ser de las asambleas. Se encuentra que en estas reuniones se desatienden aspectos fundamentales como el proceso de votación, la composición y remuneración de la junta, la revelación de información sobre los candidatos a la junta y la trasmisión de las AGA a través de internet. Por el contrario, se otorga mayor atención a los refrigerios, implementos de oficina y el lugar en el que se desarrolla la reunión.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.548

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0050.002
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.260
Teacher spread0.246 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes1
Has abstractyes

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