Rebel Organisation and Local Politics: Evidence from Bouna (Northern Côte d'Ivoire, 2002–10)
Bibliographic record
Abstract
Scholars have begun to show how variations in the organization of rebellion in war can impact outcomes related to the violence used against civilians, military effectiveness of armed groups and the post-conflict transitions. This article suggests that existing approaches in this literature overlook sub-group variations in relationships between national-level leaders of armed movements and local commanders. Exogenous factors that explain organizational variation and organizational effects are generally argued to be group wide. By focusing on the local level, I argue that many of the presumed downstream effects of variation in rebel organization can also contribute to the organizational choices leaders make for controlling local actors. This article demonstrates this argument through the case of Bouna in north-eastern Côte d'Ivoire, where a tax revolt against the local Forces Nouvelles (FN) administration, led by local Lobi youth, forced a restructuring in the relationship between Soro and the local FN commander, Morou Ouattara.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".