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Record W2077411715 · doi:10.1163/156805811x592496

Ripe for A New Asian Multilateralism? Asean and Contemporary Regional Dynamics

2011· article· en· W2077411715 on OpenAlexaff
Dominique Caouette, Denis Côté

Bibliographic record

VenueEuropean Journal of East Asian Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMultilateralismDynamismLiberalizationInternational tradeAsian studiesPolitical scienceEconomicsDevelopment economicsPoliticsChinaLaw

Abstract

fetched live from OpenAlex

At different rates and following different patterns, Asian multilateralism, particularly in Southeast Asia, is under construction. For observers, the dynamics of regional cooperation have been transformed (or have accelerated) over recent years. This new dynamism is the result of three shocks: the end of the Cold War and the acceleration of economic liberalisation; the Asian financial crisis of 1997–1998; and the events of 11 September 2001. These events modified regional processes and enabled the emergence of new forms of regional cooperation. These are characterised by the proliferation of free trade agreements, greater financial cooperation, a renewal of dialogue initiatives on security issues, and the multiplication of formal and informal regional institutions. In this article, we argue that we are now witnessing a new form of 'soft multilateralism' emerging in Asia, in which ASEAN is both well placed and very experienced. In such multilateralism, norms and principles are seldom made explicit, and are even less made constraining, but act as guiding sets of behaviours.

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)0.002
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.005
Scholarly communication0.0040.005
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.178
GPT teacher head0.333
Teacher spread0.155 · 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

Citations7
Published2011
Admission routes1
Has abstractyes

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