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Record W2806042952 · doi:10.7202/1044395ar

Acteurs et instruments dans la lutte contre Boko-Haram

2016· article· fr· W2806042952 on OpenAlex
Danielle Kadje

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSens public · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.103
GPT teacher head0.375
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it