State of rebellion: Violence and intervention in the central African republic
Bibliographic record
Abstract
In 2012 violence in the CAR rebellion spiked and drew international attention to this little-known part of the world. This book builds on thirteen years of engagement with the CAR and Lombard demonstrates a deep understanding of the country’s complex dynamics. The book adopts an ethnographic approach and successfully challenges our understandings of the state. It makes an important and thoughtful contribution not only to the literature on the CAR and on the African state, but also to debates about peacebuilding and international intervention in African conflicts. The book sets out to understand the nature of the CAR state and does so through a careful unpacking of various actors’ motivations. Lombard’s approach to the nature of the state in the CAR is to see it as existing only as an ideal. The idea of the state is a ‘bond – both a point of connection and a chain that structures […] relationships in ways that the individuals involved cannot transcend’ (p. 31). The idea that people hold of the state across the territory structures their interactions with it, despite the fact that the CAR government’s structures are barely present outside the capital. According to Lombard, Central Africans strongly desire a state, but at the same time they experience its cruelty.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".