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Record W2116339436 · doi:10.7202/037574ar

Au-delà de la souveraineté biopolitique

2009· article· fr· W2116339436 on OpenAlexvenueno aff
Alexander D. Barder, François Debrix

Bibliographic record

VenueÉtudes internationales · 2009
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical Theology and Sovereignty
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans cet article, nous avançons que la souveraineté biopolitique et la théorie politique de l’état d’exception, souvent dérivées de la pensée de Carl Schmitt, ne constituent pas des indicateurs analytiques satisfaisants si nous voulons comprendre la politique de l’utilité globale des corps, du contrôle sur la vie ou le vivant et la violence des autorités abusives qui semblent aujourd’hui dominer les pratiques en relations internationales. Pour mieux apprécier la singularité du moment présent, nous suggérons qu’une approche théorique inspirée de la pensée politique de Hannah Arendt et correspondant aux politiques de violence absolue et totalitaire ainsi qu’à la terreur est nécessaire. En revisitant la pensée d’Arendt sur la violence et la politique agonale, nous reconceptualisons les pratiques souveraines en tant que « souveraineté agonale ».

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)0.005
metaresearch head score (Gemma)0.006
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 score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0040.038
Scholarly communication0.0080.011
Open science0.0010.005
Research integrity0.0030.008
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 head0.346
Teacher spread0.321 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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