Bibliographic record
Abstract
Dans ce monde en mutation, un terrorisme massif, mutant, asymétrique et islamisé a pris progressivement racine : la menace islamiste radicale, illustrée notamment par la nébuleuse Al-Qaida, figure de proue du Djihadisme est aujourd'hui concurrencée par des groupes africains de création récente à l'instar de Boko Haram (Pérouse de Montclos, 2012 ; Guibbaud 2014 ; Koungou, 2014 ; Saibou, 2014 ; Pommerolle, 2015). Ce phénomène transnational désormais au cœur de la vie socio-politique camerounaise et nigériane interpelle à plus d'un titre. Cette nouvelle dynamique belliciste, objet d’une action publique multi-niveaux analyse les déclinaisons d’un pan des assauts de cette secte islamiste. (Apard, 2015 : 135). Cette étude interroge tour à tour, l’imbrication d’acteurs multiples aux registres différents qui participent à la mise en œuvre de cette action publique spécifique et les instruments de cette dynamique multi-niveaux et asymétrique au Cameroun et au Nigéria.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.011 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".