Reinserting ex-associates of Boko Haram in Cameroon
Bibliographic record
Abstract
In November 2018, the State of Cameroon announced the creation of the National Committee for Disarmament, Demobilisation and Reintegration (NCDDR) to organise, supervise and manage the disarmament, demobilisation and reintegration of former Boko Haram fighters and armed groups in the English-speaking North-West and South-West regions. The need arose as communities had been hosting successive waves of former Boko Haram associates. This research focuses on those communities where reintegration routes are either off or upstream the institutional framework set by the government. Based on a field survey and available literature on the current security crisis in the Far-North region of Cameroon, the study describes the profiles of these ex-hostages and ex-combatants that are grouped under the term of ex-associates. Reception conditions as well as the ordalic reintegration mechanisms put in place by the communities’ leaders are also analysed. The challenge of identifying and counting those ex-associates exhaustively and the delay in implementing a coherent national reintegration strategy make it quite illusory to envisage a credible alternative to that still existing community model.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".