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Record W2425497492 · doi:10.3917/poeu.051.0118

L’Europe des militaires

2016· article· fr· W2425497492 on OpenAlexaff
Antoine Rayroux

Bibliographic record

VenuePolitique européenne · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article montre les limites de l’institutionnalisation de l’approche globale dans la pratique des militaires européens en opération. Une analyse d’EUFOR Tchad/ RCA fait ressortir deux observations contrastées. Certes, l’approche globale trouve un écho favorable auprès des militaires européens, en ce qu’elle leur permet de développer de nouvelles compétences professionnelles et sociales au contact les uns des autres et avec les autres acteurs du champ de la sécurité européenne. L’approche globale est une norme qui contribue pour les militaires à donner du sens au rôle de l’UE comme acteur de la gestion des crises. Cependant, sa mise en œuvre sur le terrain donne lieu à un assemblage de pratiques diverses et au rejet par les militaires d’un certain nombre de ses principes, dès lors que ces derniers mettent en danger la conduite des opérations.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.043
GPT teacher head0.323
Teacher spread0.280 · 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
GenreEmpirical

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

Citations1
Published2016
Admission routes1
Has abstractyes

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