The Strengths and Limitations of the Inclusion of Religious Actors in Peace Processes in Northern Ireland and Bosnia and Herzegovina
Bibliographic record
Abstract
Abstract This article uses a comparative approach to analyze the strengths and limitations of the inclusion of religious actors in peace and transition processes. It compares the theoretical frameworks of Bercovitch and Kadayifci-Orellana, and Brewer, demonstrating how the first helps us understand the strengths of religious actors, while the second sheds more light on their limitations. An analysis of the involvement of religious actors in the peace processes in Northern Ireland and Bosnia and Herzegovina supports the argument that religious actors are more likely to contribute to peace when they are excluded from Track One negotiations and are active in other modalities of participation: in wider social peace processes at national or grass-roots levels. Religious actors can contribute to peace processes especially if they choose to exclude themselves from Track One negotiations in order to avoid the pitfalls of becoming too closely associated with political power.
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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 | 0.054 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.006 | 0.012 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".