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Record W2531031562 · doi:10.1177/1755088216671735

Interlocuting classical realism and critical theory: Negotiating ‘divides’ in international relations theory

2016· article· en· W2531031562 on OpenAlexaff
Hartmut Behr, Michael C. Williams

Bibliographic record

VenueJournal of International Political Theory · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInternational relations theoryEpistemologySociologyInternational relationsNegotiationCritical theoryModernityCritical realism (philosophy of perception)PoliticsPost-realismRealismHumanityPolitical philosophyField (mathematics)NarrativeSocial theorySocial sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The history of the discipline of International Relations is usually narrated as a succession of theories that would pursue different ontologies and epistemologies and focus on different problems. This narrative provides some structure to a multifaceted field and its diverse discussions. However, it is also highly problematic as it ignores common problems, intersections and mutual inspirations and overemphasizes divides over eventual commonalities. Rather than such overemphasis, we suggest instead negotiating between ‘IR theories’ and elaborating their shared foci and philosophies of science in order to provide new perspectives on and approaches to international politics. We here negotiate between the two theoretical movements of classical realism and critical theories that are typically treated as opposites, yet which nonetheless are characterized by shared concerns about political and social crises, modernity and humanity.

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)0.006
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
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 score0.931
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.361
Teacher spread0.341 · 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
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

Citations26
Published2016
Admission routes1
Has abstractyes

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