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Record W2299642622 · doi:10.1080/13569317.2015.1075262

The United Nations ideology: from ideas to global policies

2015· article· en· W2299642622 on OpenAlexaff
Jean‐Philippe Thérien

Bibliographic record

VenueJournal of Political Ideologies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsUniversité de Montréal
FundersUnited Nations Development Programme
KeywordsIdeologyGlobal governancePoliticsSociologyDemocracyCorporate governanceDemocratic governancePolitical economyCold warPublic administrationPolitical scienceGlobal politicsHuman rightsSocial scienceEnvironmental ethicsLawEconomicsManagement

Abstract

fetched live from OpenAlex

Building on the observation that the UN is a key intellectual actor of world politics, I argue that the end of the cold war marked a turning point in the evolution of UN thinking. The first part of the article puts forward a conceptual framework centred on the notions of global governance, ideology and global public policy. It shows that these three notions are useful tools for an understanding of the production and diffusion of UN ideas. This conceptual framework is used in the second part to analyse the three issues that have dominated the UN agenda throughout the post-cold war period: security, development and human rights. The third part then explains how this agenda has recently been extended to include a new issue: global democracy. I contend that, in each of its areas of interest, the UN ideology helps to establish global public policies designed to transform global governance practices. The article demonstrates that even though the UN is perpetually constrained by states—especially the most powerful ones—it does exercise a distinctive form of political leadership in global affairs.

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)0.007
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0030.018
Scholarly communication0.0090.009
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.057
GPT teacher head0.391
Teacher spread0.334 · 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

Citations30
Published2015
Admission routes1
Has abstractyes

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