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Record W7148538481 · doi:10.7202/1124102ar

À qui profite la « crise » ?

2025· article· fr· W7148538481 on OpenAlexvenueno aff
Léonard Colomba-Petteng

Bibliographic record

VenueÉtudes internationales · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican Studies and Geopolitics
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)CapitalismGovernment (linguistics)PoliticsWork (physics)

Abstract

fetched live from OpenAlex

Comment les organisations internationales réagissent-elles aux conjonctures critiques ? Cet article cherche à s’emparer de cette problématique en mettant en lumière les effets produits par une crise diplomatique opposant l’Union européenne et les régimes militaires ayant pris le pouvoir au Mali, au Burkina Faso et au Niger. Nous cherchons à analyser les reconfigurations à l’oeuvre au sein de l’UE après la rupture soudaine et inattendue de partenariats mis en place dans le cadre de la Politique étrangère et de défense commune (PESC). À partir d’un cadre d’analyse emprunté à la sociologie de l’action publique européenne, nous montrons que divers acteurs impliqués dans la PESC ont tenté de faire de cette « crise » une opportunité pour défendre leurs préférences et leurs agendas au nom de l’intérêt de l’UE.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.026
Scholarly communication0.0170.012
Open science0.0010.008
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0090.001

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 head0.024
GPT teacher head0.343
Teacher spread0.320 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueÉtudes internationalesSame topicAfrican Studies and GeopoliticsFrench-language works237,207