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The Power of Hegemon: the Role of Discourse

2020· article· en· W3034321043 on OpenAlex

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

VenueRUDN Journal of Political Science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsCarleton University
FundersRUDN University
KeywordsHegemonyGeopoliticsDominance (genetics)Power (physics)Performative utteranceOrder (exchange)Political scienceSociologyPolitical economyAestheticsLawEconomicsPolitics

Abstract

fetched live from OpenAlex

This paper explores one of the central issues of current international discourse : how is world order sustained and maintained, is it shifting and changing, is it being reinvented and reimagined, or are we on the cusp of global disorder and competition among great and small powers? The conventional lens used to examine these questions is that of ‘hegemony’ or ‘dominance.’ This paper discusses how hegemony is conceptualized, what kinds of resources are mobilized (material, discursive, institutional, and performative) in maintaining hegemony, and what the current chessboard of geopolitics looks like in terms of rising and falling powers. Despite a chaotic picture of the train derailed there is also an optimistic end of that story. First we are moving from a unipolar to the polycentric world. Secondly that new world will be less dramatically divided as it will be based on macro-regional arrangements. Thirdly multi-regional arrangements will be closer civilizationally and thus less prone to conflicts. Finally - in order to survive - most probably they will voluntarily keep close ties with other macro-regiond making the system more stable that today.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.533
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
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 head0.016
GPT teacher head0.353
Teacher spread0.337 · 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