La violencia política en Colombia y la paz que está por venir : ¿Por qué las desafecciones a los acuerdos de paz y su implementación?
Bibliographic record
Abstract
Colombia’s civil war is the oldest in America. An endless war for several generations\nof Colombians, where more than a quarter of a million people have\nkilled and about six million of their places of origin have displaced. Terror\nhas marked the daily life of Colombia for three quarters of a century.\nThe peace process between the government and the FARC, initiated in 2012,\nallowed the parties to sign an agreement in Cartagena de Indias on September\n26, 2016. However, on October 2, 2016, The result of the referendum\nconsultation was negative.\nPresident Manuel Santos for his role in the peace process in Colombia received\nthe Nobel Peace Prize. However, by the end of June 2017 the president’s\napproval level is 12 percent, the lowest in Colombia’s history. In addition, the\nrejection of the peace accords in 2017, according to the surveys, had increased\nto reach 73 percent. These facts need to explain. Why do not Colombians\nwant this peace?
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".