Relación entre conflicto y posconflicto: Colombia y los acuerdos de paz
Bibliographic record
Abstract
Colombians, in which more than a quarter of a million people have killed and some six \nmillion Colombians have displaced from their homes. Terror has marked the daily life of \nColombia for three-quarters of a century.\nThe peace process between the government and the FARC, initiated in 2012, allowed parties to sign an agreement in Cartagena on 26 September 2016. However, no civil war ends with the end of the armed conflict. Rafael Pardo, Colombian minister of postconflict, believes that peace will take 15 years to reach the entire territory.\nAfter a long and cruel civil war, the conflict of memory will remain for a long time because of its political character. Conflict in memory will create tensions because it will determine what needs to remember and what needs to forget. The civil war will become a place of memory.\n\nThe National Center for Historical Memory will have to tackle the difficult task of working \nwith the memories of a society marked by the anguish of civil war. The product of the work of the CNMH will determine to what extent the historical memory demands the foundation of a new republic, its institutional reform or its consolidation
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 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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".