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Record W3037022300 · doi:10.25148/etd.fidc007077

Revising the Status Quo of Revisionism, Grand Strategy, and International Order

2019· dissertation· en· W3037022300 on OpenAlexfundno aff
Onur Erpul

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsnot available
FundersUniversity of WaterlooUniversity of OxfordUniversity of Cambridge
KeywordsStatus quoOrder (exchange)State (computer science)Political scienceGrand strategyInternational conflictInternational studiesVariance (accounting)International relationsLaw and economicsPolitical economySociologyLawPoliticsComputer scienceEconomics

Abstract

fetched live from OpenAlex

This dissertation examines a type of variance in state behavior pertaining to international conflict and cooperation. Rather than confining this discussion to a binary understanding of state behavior, between revisionism and status-quo seeking, it endeavors to provide a nuanced discussion of the type of grand-strategic orientations states undertake in pursuit of their interests. It poses the question, “under what circumstances do states aspire to uphold, seek to reform, or challenge international order?” In doing so, the study helps to understanding the gamut of behaviors that purportedly satisfied or revisionist states display. System-level material opportunities that are filtered by elite-preferences and beliefs about international order at the unit-level account for the type of grand strategies states will adopt. Through congruency testing, the dissertation identifies and explains order-conforming, order-reforming, order-retrenching, and order-challenging grand strategies. In this context, the dissertation addresses debates within Structural Realism on status-quo and revisionist states as well as grand strategy formation to produce an eclectic mid-range theory of state behavior. The hypotheses generated by this theoretical undertaking are tested through longitudinal, comparative case study examinations of U.S. and Chinese grand strategies in the post-Cold War period.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.377
Teacher spread0.351 · 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 teacher head, not a consensus.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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