MétaCan
Menu
Back to cohort
Record W3023611987 · doi:10.18041/2619-4244/dl.26.6185

Análisis E Impacto De La Ley De Reorganización Empresarial En La Ciudad De Cartagena

2020· article· es· W3023611987 on OpenAlexaff
Diego Cardona Arbeláez, Andrés Antonio Alarcón Lora, Efraín José Mejía Villadiego

Bibliographic record

VenueDictamen Libre · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicComparative International Legal Studies
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El presente artículo se analiza algunos de los procesos de reorganización empresarial que se han tramitado en la ciudad de Cartagena de Indias, desde el punto de vista jurídico y socio-jurídico; teniendo en cuenta en este ejercicio, los aspectos que emergen en el desarrollo del proceso concursal, teniendo como referente normativo principal la Ley 1116 de 2006, sancionada el 27 de diciembre de 2006, y la cual entró en vigencia el 27 de junio de la siguiente anualidad. Esta Ley contiene el nuevo Régimen Concursal Colombiano, que contempla tres nuevos aspectos del Derecho Concursal: los Procesos de Reorganización, la Liquidación Judicial y la Insolvencia Transfronteriza, tanto en materia de procesos de Recuperación o salvamento, como en procesos de liquidación del patrimonio del deudor. De igual manera se vislumbra, de lo poco atractivo que resulta el concurso de acreedores debido al poco conocimiento del mismo, por parte del deudor, así como el papel que desempeña el Derecho concursal en el diseño de la estructura económica y financiera de las empresas, en el acceso al crédito, en el grado de re- emprendimiento, innovación y competitividad de las organizaciones, y, más genéricamente, en la promoción del crecimiento económico.

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)0.005
metaresearch head score (Gemma)0.018
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 score0.177
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0050.005
Scholarly communication0.0110.004
Open science0.0010.006
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.015
GPT teacher head0.341
Teacher spread0.326 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueDictamen LibreSame topicComparative International Legal StudiesFrench-language works237,207