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Record W2990944518 · doi:10.22151/politikon.18.6

A Constant State of War Or A Dog Eat Dog System?

2012· article· en· W2990944518 on OpenAlexaff
Nathan Andrews

Bibliographic record

VenuePolitikon IAPSS Journal of Political Science · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRealismInternational relationsWaltzPoliticsPerspective (graphical)Transformative learningState (computer science)Scope (computer science)Power (physics)Power politicsPolitical scienceConstant (computer programming)EpistemologySociologyLaw and economicsLawPhilosophyHistoryComputer science

Abstract

fetched live from OpenAlex

It has become far too fashionable to adopt a (neo)realist approach to world affairs, especially since this approach purports to deal with the ‘here and now’ of international politics. While this perspective can be seductive and even dominating, it is imbued with certain shortfalls that cannot be left unchallenged. (Neo)realism often presents a world that is anarchic, bound by state power and self-interest. Although these are “real” features of world politics, an exclusive concentration on these aspects alone does not present a comprehensive understanding of what states do and why they do what they do. This paper investigates realism, particularly the realism of Hans Morgenthau and Kenneth Waltz, to ascertain the extent to which the assumptions these authors present explain the nature and scope of international relations. The contention is that (neo)realism’s perspective on world affairs is unprogressive, non-transformative, and deterministic of state behaviour, a feature that makes its analysis limited even in capturing the ‘here and now’.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.535
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.033
GPT teacher head0.376
Teacher spread0.343 · 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.

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

Citations0
Published2012
Admission routes1
Has abstractyes

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