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Record W2478893585 · doi:10.1017/cbo9781139096836.012

Ideas, norms, and regional orders

2012· book-chapter· en· W2478893585 on OpenAlex
Amitav Acharya

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsMcGill University
Fundersnot available
KeywordsSociologyPolitical sciencePsychology

Abstract

fetched live from OpenAlex

In this chapter I focus on two questions that are central to a social constructivist understanding of regional orders. The first is whether and how "ideas make regions." The second is how to conceptualize the diffusion of ideas and norms (used interchangeably here, mindful that ideas do not necessarily make behavioral claims as norms do) across the regional–global divide, that is, between regions and the global system at large, a process that is crucial to the creation and maintenance of regional orders. Until recently, international relations scholars paid scant attention to these questions. The advent of constructivism as a distinct perspective on international relations has changed that. I will argue, however, that constructivism, despite its claims to be an "ideas first" (as opposed to "ideas only") theory, is yet to fully address these two questions. Constructivism's position on the relationship between ideas and power remains ambiguous at best. And constructivism is especially weak when it comes to exploring the global–regional nexus in the diffusion of ideas and norms, focusing almost exclusively on how universal norms trump local or regional ones.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.971
Threshold uncertainty score0.732

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.245
Teacher spread0.214 · 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