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Record W2041330643 · doi:10.1177/0967010608096148

Sovereign Power and the Biopolitics of Human Security

2008· article· en· W2041330643 on OpenAlexaff
Miguel de Larrinaga, Marc G. Doucet

Bibliographic record

VenueSecurity Dialogue · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsSaint Mary's UniversityUniversity of Ottawa
Fundersnot available
KeywordsBiopowerHuman securitySovereigntyPower (physics)SociologySecurity studiesDual (grammatical number)Critical security studiesPolitical sciencePolitical economyLawPoliticsSocial scienceNetwork security policyPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article examines the manner in which the human security discourse enables a dual exercise of sovereign power and biopower. Drawing from the work of Michel Foucault and Giorgio Agamben, it argues that human security contributes to this dual exercise by conceptualizing a form of life rendered amenable to biopolitical technologies and rationalities while simultaneously defining the conditions of exceptionality that assist in sovereign power's ability to authorize international interventions meant to secure human life. This frame of reference is then mobilized to read the human security discourse within the broader developments of the concept of security from the immediate postwar period to the post-9/11 moment. It is argued that the human security discourse informs the current biopolitical networks of world order and often works in conjunction with — rather than against — the global exercise of sovereign power made evident by the 'war on terror'.

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)0.004
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 score0.007
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0040.082
Scholarly communication0.0070.006
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.299
Teacher spread0.275 · 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

Citations114
Published2008
Admission routes1
Has abstractyes

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