Bibliographic record
Abstract
Dans ce monde en mutation, un terrorisme massif, mutant, asymetrique et islamise a pris progressivement racine : la menace islamiste radicale, illustree notamment par la nebuleuse Al-Qaida, figure de proue du Djihadisme est aujourd’hui concurrencee par des groupes africains de creation recente a l’instar de Boko Haram (Perouse de Montclos, 2012N; Guibbaud 2014N; Koungou, 2014N; Saibou, 2014N; Pommerolle, 2015). Ce phenomene transnational desormais au cœur de la vie socio-politique camerounaise et nigeriane interpelle a plus d’un titre. Cette nouvelle dynamique belliciste, objet d’une action publique multi-niveaux analyse les declinaisons d’un pan des assauts de cette secte islamiste. (Apard, 2015 : 135). Cette etude interroge tour a tour, l’imbrication d’acteurs multiples aux registres differents qui participent a la mise en œuvre de cette action publique specifique et les instruments de cette dynamique multi-niveaux et asymetrique au Cameroun et au Nigeria.
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 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 | 0.000 |
| 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 | 0.002 |
| 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 | 0.001 |
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".