Turning Atrocity Prevention Inside-Out: Community-Based Approaches to Preventing, Protecting, and Recovering from Mass Violence
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article reviews recent research and evolving practice of community-based approaches to preventing and mitigating mass violence. It considers growing evidence that externally driven international interventions in response to violence are failing due to a lack of recognition and support for local actors, and increasing research into locally-led efforts, such as community protection strategies, early warning and response systems, interreligious peacebuilding, and post-atrocity trauma healing. Drawing from examples from a wide range of cases, including Rwanda, Burundi, Democratic Republic of Congo, Central African Republic, Colombia, and Sri Lanka, the article identifies key lessons for improving atrocity prevention policy and practice. Based on examination of the literature and case studies, it argues for a fundamental shift in the field of atrocity prevention from external interventionism toward supporting local peace agency.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it