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Record W2094439961 · doi:10.1017/cbo9781139096836

International Relations Theory and Regional Transformation

2012· book· en· W2094439961 on OpenAlexaff
T. V. Paul, Barry Buzan, Dale C. Copeland, Jeffrey W. Taliaferro, John M. Owen, Stéphanie C. Hofmann, John R. Oneal, Amitav Acharya, Vincent Pouliot, John A. Hall, Norrin M. Ripsman, Stéfanie von Hlatky

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsOrder (exchange)International relations theoryEpistemologySubject (documents)International relationsPolitical scienceSociologyPositive economicsRegional scienceComputer sciencePoliticsEconomicsLawPhilosophy

Abstract

fetched live from OpenAlex

Regional transformation has emerged as a major topic of research during the past few decades, much of it seeking to understand how a region changes into a zone of conflict or cooperation and how and why some regions remain in perpetual conflict. Although the leading theoretical paradigms of international relations have something to say about regional order, a comprehensive treatment of this subject is missing from the literature. This book suggests that cross-paradigmatic engagement on regional orders can be valuable if it can generate theoretically innovative, testable propositions and policy-relevant ideas. The book brings together scholars from the dominant IR perspectives aiming to explain the regional order issue through multidimensional and multi-causal pathways and seeking meeting points between them. Using insights from IR theory, the contributors offer policy-relevant ideas which may benefit conflict-ridden regions of the world.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0030.019
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0110.002

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 head0.253
Teacher spread0.229 · 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
GenreOther

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

Citations69
Published2012
Admission routes1
Has abstractyes

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