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Record W2035528532 · doi:10.1080/09512740500473106

Theorizing Southeast Asian Relations: an introduction

2006· article· en· W2035528532 on OpenAlexaff
Amitav Acharya, Richard Stubbs

Bibliographic record

VenueThe Pacific Review · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsMcMaster University
Fundersnot available
KeywordsConstructivism (international relations)RealismInternational relations theoryInternational relationsEpistemologySociologySoutheast asiaPluralism (philosophy)Southeast Asian studiesSocial constructivismAgency (philosophy)Political scienceSocial scienceLawEthnologyPolitics

Abstract

fetched live from OpenAlex

In the introduction, the editors discuss the emergence of a new body of literature on Southeast Asia's regional relations that is both theoretically informed and stimulating. One element of this literature features a constructivist challenge to realism, traditionally the dominant perspective on Southeast Asian International Relations. Constructivist writings have helped to broaden the understanding of Southeast Asia's regional order by capturing its ideational determinants (norms and identity), the agency role of local actors, and the possibility of transformation through socialization and institution building. But constructivism itself has been challenged by other perspectives, including neo-liberal, English School and critical approaches. The essays in this special issue of The Pacific Review capture this emerging debate. The editors argue that the articles in this special issue are a good indicator of the theoretical pluralism that marks the study of Southeast Asia's regional relations today. Southeast Asian studies need not be dominated by either realism or constructivism, but can accommodate a diversity that vastly enriches our understanding of regional conflict and order.

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)0.003
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 score0.006
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.005
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0020.004
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 head0.019
GPT teacher head0.316
Teacher spread0.297 · 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

Citations40
Published2006
Admission routes1
Has abstractyes

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