Persistent Violences and Transitional Justice: From Security to “Provention” as a Guarantor of No Repetition
Bibliographic record
Abstract
Interpretative Sentence SIVJRNR Sistema Integral de Verdad, Justicia, Reparación y No Repetición (Comprehensive System of Truth, Justice, Reparation and Non-Repetition) SRVR Sala de Reconocimiento de Verdad, de Responsabilidad y de Determinación de los Hechos y Conductas (Chamber of Recognition of Truth and Responsibility and Determi nation of Facts and Conducts) TJ Transitional Justice TOAR/ TOARS Restorative sanctions and the implementation of restora tive and reparative works and actions TP Tribunal para la Paz (Peace Tribunal) UARIV Unit for Comprehensive Attention and Reparation of Victims UNHCR United Nations High Commissioner for Refugees UP Unión Patriótica VLR Victims Legal
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.031 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".