#StopThisMovie and the Pitfalls of Mass Atrocity Prevention: Framing of Violence and Anticipation of Escalation in Burundi’s Crisis (2015-2017)
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
The ongoing Burundi crisis offers a unique opportunity to scrutinize the changing political economy of preventive framing of violence, and particularly genocide as a representational resource in prevention. The paper shows that labels and labeling practices are not disconnected from the local dynamics of conflict, and might have counterintuitive effects in this respect. The portrayal of Burundi’s crisis— the frequent intimations that the recent crisis can lead to genocide, the invocations of the ethnic frame, and the repeated comparisons with Rwanda and Burundi’s own past— has proceeded through a problematic analysis-by-analogy and has served to obscure the core drivers of the recent violence and the dynamics of escalation on the ground. Further to this, the portrayal has not only proven ineffective in translating increased attention into action, it also has had three unintended and potentially perverse effects on the conflict itself, together fueling the political standoff rather than helping to resolve the crisis.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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