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Record W2505784817 · doi:10.1017/cbo9781139096836.006

Neoclassical realism and the study of regional order

2012· book-chapter· en· W2505784817 on OpenAlexaff
Jeffrey W. Taliaferro

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsScope (computer science)Economic geographyOrder (exchange)GeographyPolitical scienceCluster (spacecraft)Set (abstract data type)Regional scienceRealismPolitical economyEconomic systemSociologyEpistemologyComputer scienceEconomicsPhilosophy

Abstract

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Introduction T. V. Paul observes in this volume’s introduction that regional transformation – the conditions under which some geographically delimited regions are more likely to evolve toward greater cooperation and peaceful relations among their constituent states, while other regions remain trapped or degenerate into enduring rivalries and endemic interstate and intrastate war – is “of the utmost importance for crafting appropriate policy initiatives.” He defines a region as “a cluster of states that are proximate to each other and are interconnected in spatial, cultural, and ideational terms in a significant and distinguishable manner.” Regions, therefore, are a defined subsystem within a broader international (or interstate) system. According to Robert Jervis, we are dealing with a system when there are (a) a set of units or elements interconnected so that changes in some elements or their relationships produce changes in other parts of the system, and (b) the entire system exhibits properties and behaviors that are different from those of the constituent parts. Further, as Barry Buzan points out, “regions” are recent historical phenomena. The existence of a single international system of a sufficient geographic scope and interaction capacity to comprise multiple regions only dates to the eighteenth and the nineteenth centuries. Between 1848 and 1945 Prussia and its successor state Germany initiated six interstate wars, the Schleswig–Holstein wars of 1848–49 and 1862, the 1866 Austro-Prussian (or Seven Weeks’) War, the 1870–71 Franco-Prussian War, World War I, and World War II. During approximately the same period Japan initiated five wars: the First Sino-Japanese War of 1894–95, the Russo-Japanese War of 1905, the Manchurian (or Mukden) Incident of 1931, the Second Sino-Japanese War of 1937–41, and the Pacific theater of World War II. Yet since their respective defeats in 1945, neither Germany nor Japan has threatened to use force, let alone actually gone to war, against its neighbors. Western Europe has not experienced an interstate war, let alone a major (or hegemonic) war, in almost seventy years. Similarly, since the Korean War armistice in 1953, there have been no full-fledged great power wars in East Asia, although there have been a number of crises that risked escalation to war, most recently the 1995–96 Taiwan Strait Crisis. There have been four instances since 1945 where China has gone to war, albeit against adversaries outside of Northeast Asia or against great powers that intervened in existing conflicts in the region. These include China’s intervention in the Korean War in 1950–53, the Sino-Indian War in 1962, Sino-Vietnamese War in 1979, and the Sino-Soviet border clashes in 1969. For a variety of reasons – nuclear deterrence, the bipolar distribution of power in the global system, and power asymmetries between combatants – none of those conflicts escalated to a regional level. Nonetheless, compared to the respective dynamics in the pre-1945 (or pre-1953) era and compared to other regions of the globe today, both Western Europe and East Asia have been remarkably stable.

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)0.001
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: none
Teacher disagreement score0.010
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.013
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.039
GPT teacher head0.259
Teacher spread0.220 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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