Sahel State Political Violence in Comparative Perspective
Bibliographic record
Abstract
Policy, media and academic attention on violence in the Sahel region has been widespread since the onset of the Arab Spring, and the escalating violence in recent months in Mali. This research explores the nature, patterns and dynamics of this violence in regional and national comparative perspective, contrasting divergent dynamics of violence both within and across the region. Data is drawn from the Armed Conflict Location & Event Dataset (ACLED), which facilitates analysis of both contemporary and historical patterns. Regional characteristics of Sahelian violence are highlighted, which underscore a relatively low level of violence in the region as a whole, with increases in conflict levels largely driven by the single case of Mali in recent months. Detailed analysis of specific groups and actor types reveal important intra-regional discrepancies which have been largely obscured by characterisations of a regional, trans-national crisis. Together, these observations point to the need to interrogate narratives of regional dynamics which may conceal important national and even sub-national variations and drivers of political violence.
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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 | 0.001 | 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 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".