Drug-Trafficking in Colombia: The New Civil War Against Democracy and Peacebuilding
Bibliographic record
Abstract
Drug-trafficking in Colombia has been a widely researched phenomenon, especially now, as the country undergoes a transition process with its older guerrilla. Now more than ever it is fundamental to examine how drug-trafficking organizations violent activities affect the consolidation of peace. This article considers different approaches to study violence derived from drug-trafficking, in order to advance towards the objectives of transitional justice. For that matter, this work is based on the idea that drug-trafficking directly generates and reproduces violence which is fueled by the structural violence present in the Colombian context. My thesis is that this phenomenon deters non-repetition guarantees and weakens democracy, which is why there will be three main arguments presented that will revolve around the lack of consensus and the implications of considering drug wars as civil wars, how decisions related to the conceptual apprehension limit the competence of international humanitarian law, and the need for holistic strategies capable of facing drug-trafficking’s political and violent power. Later, alternatives will be explored around the possibilities that each argument offers, as well as which aspects could contribute to a more appropriate approach to combat drug-trafficking. Lastly, I will defend why implementing bottom-up oriented actions can advance towards transitional justice’s intermediate and final objectives, as it is the only alternative that escapes fatalist, utopian or interventionist scenarios.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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".