MétaCan
Menu
Back to cohort
Record W2126037355 · doi:10.1177/1354066108097554

`World Opinion' and the Founding of the UN: Governmentalizing International Politics

2008· article· en· W2126037355 on OpenAlexaff
Hans-Martin Jaeger

Bibliographic record

VenueEuropean Journal of International Relations · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsSovereigntyPublic opinionSociologyPoliticsPolitical scienceContext (archaeology)Political economyLawHistory

Abstract

fetched live from OpenAlex

While `world opinion' is a staple in political discourse, the concept has received little attention in IR. Locating it along the `realist—idealist' divide, existing studies have conceptualized `world opinion' empirically, as an aggregative or intersubjective phenomenon, annexed or opposed to state sovereignty, and embodying a normative standard. Drawing on Luhmann's conception of public opinion and Foucault's governmentality approach, this article reconceptualizes `world opinion' discursively (functionally and semantically), as a medium of communication that enables post-sovereign forms of international governance irrespective of an inherent normativity. The alternative conception of `world opinion' is illustrated in the discourse of the emerging United Nations in the early 1940s. In this context, `world opinion' addressed problems concerning the failure of the League of Nations, total war, and threats to `civilization'. With public opinion research as a technical backdrop, `world opinion' underwrote governmentalities of international policing, welfare and rights liberalism, post-colonial pastoralism, and pedagogical panopticism in response to these problems.

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)0.009
metaresearch head score (Gemma)0.009
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 score0.010
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.034
Scholarly communication0.0100.012
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.278
Teacher spread0.258 · 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

Citations18
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueEuropean Journal of International RelationsSame topicGlobal Peace and Security DynamicsFrench-language works237,207