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Record W4307812879 · doi:10.1177/13540661221133194

The contested meaning-making of diplomatic norms: competence in practice in Southeast Asian multilateralism

2022· article· en· W4307812879 on OpenAlexaff
Stéphanie Martel, Aarie Glas

Bibliographic record

VenueEuropean Journal of International Relations · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsQueen's University
Fundersnot available
KeywordsDiplomacyMultilateralismCONTESTSociologyRhetorical questionPolitical sciencePolitical economyChinaLawPolitics

Abstract

fetched live from OpenAlex

The supposedly fixed set of norms within the Association of Southeast Asian Nations (ASEAN), commonly referred to as the “ASEAN way,” is both celebrated and maligned as a key element of Southeast Asian diplomacy. In this article, we contest this orthodoxy through a practitioner-near account of ASEAN diplomatic norms in practice. We find that the “ASEAN way” is best understood as a rhetorical commonplace, a well-established topological resource that social agents use to advance and contest claims of competent diplomatic practice in the ASEAN community of practice. We build on and bridge insights from norm contestation, practice theory, and discourse literatures to develop an original framework for the study of contestation in communities of practice. Drawing from documentary evidence and 61 interviews with practitioners of ASEAN diplomacy, we illustrate our argument by examining contestation in practice in the context of the organization’s response to the Rohingya crisis and the South China Sea disputes.

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)0.050
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.263

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0500.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0130.099
Scholarly communication0.0150.014
Open science0.0020.013
Research integrity0.0040.004
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 head0.322
Teacher spread0.302 · 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 designQualitative
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

Citations37
Published2022
Admission routes1
Has abstractyes

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