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Record W2070672283 · doi:10.1017/s1752971909990182

UN reform, biopolitics, and global governmentality

2010· article· en· W2070672283 on OpenAlexaff
Hans-Martin Jaeger

Bibliographic record

VenueInternational Theory · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsCarleton University
Fundersnot available
KeywordsBiopowerSovereigntyGovernmentalityGlobal governancePolitical scienceCivil societyScholarshipSociologyState (computer science)International relationsPoliticsHuman rightsInternational lawPublic administrationLaw and economicsLaw

Abstract

fetched live from OpenAlex

Commentary on the United Nations (UN) reform efforts of 2004–05 has broadly followed two different trajectories. International lawyers and political theorists have focused on the implications of reform for sovereignty as a fundamental principle of international law and international relations. International Relations (IR) scholars have discussed reform focusing on state power and the UN’s institutional authority. Against the background of these debates and drawing on Foucault’s political theory and related IR scholarship, this article argues that UN reform discourse indicates a biopolitical ‘reprogramming’ of contemporary sovereignty and global governance. The analysis ‘displaces’ the concerns with sovereignty, state power, and institutional authority by demonstrating that UN reform (also) constitutes the UN as a project of managing and regulating the global population through a variety of securitizing, economizing, and normalizing rationalities and techniques. The article illustrates this by pointing to the biopolitical rationales of reform conceptions of human security and collective security, and to (neo)liberal governmentalities of risk and responsibility, contractualism, benchmarking, and networks. It thereby challenges the conceptual and normative priority accorded to juridical sovereignty in international law, and to state- and institution-centric accounts in IR theorizations of UN-relayed global governance.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.049
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.026
Scholarly communication0.0060.006
Open science0.0020.003
Research integrity0.0150.010
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.333
Teacher spread0.322 · 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

Citations74
Published2010
Admission routes1
Has abstractyes

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