Comprendre Boko Haram à partir d’une perspective historique, locale et régionale
Bibliographic record
Abstract
Ce numéro spécial s’intéresse à l’insurrection de Boko Haram dans les pays du bassin tchadien en se concentrant essentiellement sur les dynamiques locales, d’une part, en regardant au-delà de la perspective sensationnaliste et à court terme des médias, et d’autre part, en explorant des thèmes qui transcendent le temps et les frontières disciplinaires. Notre postulat de base est que la lecture des actions de Boko Haram à travers le prisme des termes aujourd’hui à la mode tels que “terroristes” ou “djihadistes,” ne peut offrir qu’une perspective limitée du phénomène. Plutôt qu’un modèle superficiel dérivé de la pensée de la “guerre contre le terrorisme,” les approches développées par les auteurs de ce dossier thématique se concentrent non seulement sur les facteurs religieux, mais aussi sur la violence de l’État et les facteurs sociaux, politiques et économiques qui soutiennent l’adhésion à l’insurrection, ce qui présente un parallèle avec les “bandits sociaux.”
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".