Conflicto Armado y DIH desde el Caribe colombiano: Una propuesta metodológica para su compresión
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".