Broadcasting Peace: An Analysis of Local Media Post-Conflict Peacebuilding Projects in Rwanda and Bosnia
Bibliographic record
Abstract
This paper explores the possibilities and challenges of local media to contribute to post-conflict peacebuilding. Many donors are involved in local media post-conflict peace building projects, but there has been relatively little attempt to situate these activities into an overall peacebuilding framework, or to systematically evaluate their success. This paper looks at some of the literature on local media and development to uncover the possibilities for local media for peacebuilding, but argues that distinct peacebuilding objectives must be considered in the designing of local media peacebuilding projects. The paper develops a framework for understanding how different kinds of local media activities can affect peacebuilding processes, yet it also highlights the fact that more sophisticated evaluation tools need to be developed to measure the peacebuilding impact of all kinds of local media projects. Through the analysis of several local media projects in Rwanda and Bosnia, the paper supports the general notion that local media projects can contribute to peacebuilding, but shows that success is by no means guaranteed or absolute.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".