Flat-Pack Reintegration? National Ownership, Promises and Flaws in Cameroon’s Disarmament and Demobilization Program for Ex-Boko Haram Combatants
Bibliographic record
Abstract
This article examines the Disarmament, Demobilization, and Reintegration (DDR) program in Cameroon, focusing on former Boko Haram combatants. Based on qualitative research from December 2020 to January 2022, this study includes 37 interviews with former combatants and DDR administrators in three Cameroonian cities. It analyzes the challenges of the national ownership of the DDR programs, emphasizing the role of middle-range actors and local practices in enhancing reintegration efforts. The research highlights the complexities of the DDR process and the need for a coherent framework integrating interdisciplinary insights. By proposing a conceptual framework of dissociation and examining how national appropriation, understood as the process through which state actors take ownership of and implement instruments designed externally, is constructed and enacted, this article aims to contribute to the development of more nuanced, context-sensitive DDR programs tailored to the specific challenges of diverse post-conflict environments.
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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 | 0.002 |
| 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 | 0.001 |
| 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".