Disarmament, Demobilisation, and Reintegration: Analysing the Outcomes of Nigeria’s Post-Amnesty Programme
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
Disarmament, demobilisation, and reintegration (DDR) programmes are an essential part of most contemporary post-conflict peacebuilding processes, but they are seldom the subject of academic analysis. In this study, we seek to reduce this gap by examining the Post-Amnesty Programme (PAP) introduced in Nigeria in 2009. Our analysis shows that the programme contributed to the reduction of small arms and light weapons (SALW), fewer attacks on oil infrastructure and kidnapping of expatriates, and improved human capacity development. However, the programme has been ineffective in reintegrating ex-militants into civilian life because of serious shortcomings in its design as well as the extremely difficult implementation environment. In addition, the programme has proved to be hugely expensive. Despite these serious shortcomings, the Federal Government of Nigeria cannot simply terminate the programme because this will increase the risk that ex-militants enrolled in the programme will reignite the violent insurgency against the Nigerian state and international oil companies. The study concludes by reflecting on how this challenging situation can be resolved.
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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 | 0.002 | 0.001 |
| 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