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A Research Agenda for the Study of Peaceful Change in World Politics

2021· book-chapter· en· W3198507013 on OpenAlexaff
Deborah Welch Larson, T. V. Paul, Harold A. Trinkunas, Anders Wivel, Ralf Emmers

Bibliographic record

VenueOxford University Press eBooks · 2021
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsMcGill University
Fundersnot available
KeywordsPoliticsPolitical sciencePolitical economySociologyLaw

Abstract

fetched live from OpenAlex

Abstract This concluding chapter offers a summary and evaluation of the key ideas contained in the chapters of this Handbook. The chapter discusses peaceful change in terms of conceptual clarity; historical evolution of scholarship in the area, especially the interwar, Cold War, and post–Cold War era efforts at analyzing the concepts; and the policy innovations in this realm. This is followed by an evaluation of the key umbrella theories of international relations—realism, liberalism, and constructivism—and how they approach peaceful change. Some important sources and mechanisms of change are analyzed. This is followed by discussion of the policy contributions of selected great and rising powers toward peaceful change. The chapter then offers a summary of contributions and progress that various regions have made in the area of peaceful change. It concludes with some ideas for future research while highlighting the significance of the subject matter for international relations and the world 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)0.005
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 score0.013
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.016
Scholarly communication0.0110.009
Open science0.0010.003
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0130.002

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 head0.224
GPT teacher head0.367
Teacher spread0.143 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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