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Record W1966460398 · doi:10.7202/1024653ar

De l’insuffisance de la victoire militaire

2014· article· fr· W1966460398 on OpenAlexvenueno aff
Adrien Schu

Bibliographic record

VenueÉtudes internationales · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesAfghanPolitical scienceArt

Abstract

fetched live from OpenAlex

Le « modèle afghan » de la guerre, inauguré lors de la guerre d’Afghanistan (2001) et ravivé lors du conflit en Libye (2011), se caractérise par le recours à l’arme aérienne et aux forces spéciales en appui à des forces locales. Il permet de mener des interventions militaires à l’étranger sans avoir à déployer de troupes conventionnelles, ce qui réduit sensiblement les coûts financier et humain de la guerre. Qui plus est, son efficacité militaire a été démontrée contre les régimes des talibans et de Kadhafi, au point d’en faire un modèle de choix pour les futures interventions occidentales. Toutefois, sur le plan politique, le bilan du modèle afghan est plus nuancé : en Afghanistan et en Libye, celui-ci a surtout permis le renforcement excessif de milices qui participent depuis à l’instabilité qui règne dans ces deux pays.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0160.001

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 head0.015
GPT teacher head0.308
Teacher spread0.292 · 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 designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

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