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Record W4399428242 · doi:10.14482/indes.32.02.155.689

Conflicto Armado y DIH desde el Caribe colombiano: Una propuesta metodológica para su compresión

2024· article· es· W4399428242 on OpenAlexaff
Alejandro Luis Blanco Zúñiga, Vanessa Suárez Blanco

Bibliographic record

VenueInvestigación & Desarrollo · 2024
Typearticle
Languagees
FieldSocial Sciences
TopicOccupational Health and Global Justice
Canadian institutionsOptech (Canada)
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Tomando como punto de referencia, en términos de la temporalidad, el desarrollo de la última década del siglo actual, este estudio aborda la imperiosa tarea de comprender y promover una implementación efectiva del DIH en el contexto del conflicto armado en la región Caribe colombiana. Ahora bien, en virtud de este análisis, se identifica la necesidad de un enfoque armónico fundamentado en premisas participativas, tomando en cuenta a los residentes locales como a los actores directamente involucrados en el conflicto. Cabe resaltar que este análisis destaca como ejemplo el caso del Clan del Golfo. Con una metodología primordialmente cualitativa, consecuente con su naturaleza, este estudio busca ofrecer una perspectiva renovada y contextual que pueda orientar futuras investigaciones y políticas públicas en los ámbitos del DIH. En consonancia con sus objetivos, se enfatiza la importancia de afinar las metodologías ante la naturaleza cambiante de los conflictos en la región.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.284
Threshold uncertainty score0.564

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.005
Science and technology studies0.0070.007
Scholarly communication0.0090.005
Open science0.0020.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.000

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 head0.050
GPT teacher head0.391
Teacher spread0.340 · 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 designTheoretical or conceptual
Domainnot available
GenreMethods

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

Citations1
Published2024
Admission routes1
Has abstractyes

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