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Record W3046340557 · doi:10.21892/968-453-504-x.4

LOS DESEQUILIBRIOS PROCESALES EN LA RESTITUCIÓN DE TIERRAS BAJO EL MODELO COLOMBIANO DE JUSTICIA TRANSICIONAL

2018· book-chapter· es· W3046340557 on OpenAlexaff
Rosa Angélica Vergara Mendoza, Ángel Andrés Torres Hernández, Daniela Alejandra González López

Bibliographic record

VenueCORPORACIÓN UNIVERSITARIA DEL CARIBE CECAR eBooks · 2018
Typebook-chapter
Languagees
FieldSocial Sciences
TopicConflict, Peace, and Violence in Colombia
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyPersona

Abstract

fetched live from OpenAlex

El presente es un libro resultado de investigaciones promovidas por el proyecto de investigación de convocatoria interna de la Corporación Universitaria del Caribe – CECAR titulado Análisis socio jurídico de las acciones socialmente responsables de las multinacionales mexicanas y colombianas orientadas hacia el respeto, protección y realización de De- rechos Humanos y construcción de paz, específicamente en el desarrollo de este último componente, adscrito al Grupo de Investigación GIS- CER, editado desde el Centro de Investigaciones Sociojurídicas CIS de la Facultad de Derecho y Ciencias Políticas.La pertinencia de este libro radica en la apuesta del Derecho y las lógicas por la justicia a través del análisis y transformación que se pueda lograr desde la academia, lo cual se evidencia en cada uno declos capítulos que lo conforman. Propiamente, el Derecho a través de sus principios, reglas y normas jurídicas se ha constituido como un conjunto de directrices a través de las cuales se organiza la convivencia social y se compenetran los intereses individuales en aras de lograr armonía entre las personas.También se ha constituido como un método que busca la solución de conflictos de manera pacífica y justa, garantizando a las personas de la comunidad un buen vivir; lo anterior sobre la base de la búsqueda de la realización de principios de vida e ideales de justicia como la igualdad, la libertad y la solidaridad, al lado de derechos individuales como la propiedad.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.144
Threshold uncertainty score0.286

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.015
Scholarly communication0.0140.008
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0150.001

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 head0.026
GPT teacher head0.293
Teacher spread0.267 · 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 designNot applicable
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

Explore more

Same venueCORPORACIÓN UNIVERSITARIA DEL CARIBE CECAR eBooksSame topicConflict, Peace, and Violence in ColombiaFrench-language works237,207