Le journalisme de paix en République Démocratique du Congo : entre fonction de journalisme et médiateur de paix, le cas de la radio Okapi
Bibliographic record
Abstract
Cet article s’inscrit dans le prolongement des travaux portant sur le rôle des médias et des journalistes durant les conflits. De manière spécifique, il porte sur les médias dédiés à la paix et leur capacité à rendre effectif un journalisme de paix. En général, ces médias sont mis en place dans des pays en crise pour aider à pacifier les climats de tension. En étudiant la question du journalisme de paix à partir de la radio Okapi, nous nous inscrivons également dans un champ de recherche qui s’intéresse à la dynamique « médias et construction de la paix » (Howard, 2004 : 15).
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".