AU COEUR DE LA RECONSTRUCTION IVOIRIENNE : LA RÉCONCILIATION
Bibliographic record
Abstract
Suite à la crise politique et au conflit armé non-international ayant déchiré la Côte d’Ivoire entre novembre 2010 et mai 2011, le gouvernement d’Alassane Ouattara mit sur pied une Commission dialogue, vérité et réconciliation calquée sur le modèle des Commissions vérité et réconciliation (CVR). La réconciliation comme outil de justice transitionnelle doit surmonter certains obstacles, tant sur le plan théorique que pratique. Cette courte étude vise à soulever les enjeux entourant la pratique des CVR au moyen d’une analyse de leurs fondements théoriques et de leurs implications sur le terrain. Deux études de cas, les CVR de la Sierra Leone et du Libéria, serviront de points de comparaison pour établir les enjeux sociaux et institutionnels qui devront être pris en compte par les commissaires et décideurs ivoiriens. Il en ressort que la réconciliation est un véhicule efficace de justice transitionnelle, mais qui doit répondre à certaines nécessités résultant de leur utilisation dans un contexte post-conflit.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.032 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".