MétaCan
Menu
Back to cohort
Record W1997896589 · doi:10.1177/0010836709344447

The United Nations and Global Democracy

2009· article· en· W1997896589 on OpenAlexaff
Jean‐Philippe Thérien, Madeleine Bélanger Dumontier

Bibliographic record

VenueCooperation and Conflict · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsDemocracyGlobal governanceLegitimacyPolitical scienceInterpretation (philosophy)PoliticsDemocracy promotionPolitical economyRhetoricState (computer science)Public administrationCivil societySociologyLaw and economicsLawDemocratization

Abstract

fetched live from OpenAlex

This article shows that the idea of global democracy has been a driving force in UN discourse and policies for the past two decades. In the first part, we use official rhetoric to explain that the promotion of global democracy by the UN rests on a particular set of values and beliefs. In an analysis that parallels the interpretation proposed by cosmopolitan democratic theorists, UN leaders argue that international governance must be democratized in order to reflect the recent reconfiguration of political forces. We then examine how UN ideas are put into practice through global public policies. Structured in line with the distinction between input- and output-based legitimacy, this second part demonstrates how UN policies foster greater participation by non-state actors in the organization’s deliberations and operations. The article suggests that the UN is an effective intellectual actor. By promoting civil society’s greater involvement in world politics, the discourse and policies of the UN have indeed succeeded in advancing the idea of a democracy ‘without borders’.

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)0.009
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 score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0040.009
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0300.008

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 head0.322
Teacher spread0.298 · 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

Citations27
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueCooperation and ConflictSame topicInternational Development and AidFrench-language works237,207