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Record W3032087963 · doi:10.5539/jpl.v13n2p144

Political Extremism and Separatism: Brief Review and Analysis of Studies

2020· article· en· W3032087963 on OpenAlexvenueno aff
Nikolay P. Medvedev, Dmitry E. Slizovskiy, Hafizullah Jawad, Randah Madingue, Nguyen Thi Hoang Oanh

Bibliographic record

VenueJournal of Politics and Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceConsciousnessPolitical economyScale (ratio)Momentum (technical analysis)Power (physics)Order (exchange)SociologyLawEpistemologyEconomicsGeographyPhilosophy

Abstract

fetched live from OpenAlex

The article presents a brief review of the studies of political extremism and separatism and the processes associated with them published in Russian and English over the past 10 years. In the center of the analysis is an attempt to describe the specifics and features of the dominant centers for the formation of a new academic and propaganda language that creates the content of ideas about the modern stage of separatism. The results of the study show that the current stage of the global world order and thinking form a different scale and priorities of the reasons and motives for the separatism use. The structure and significance of separatism factors and ideas about it change, but the content of power and politics and the dominant groups of influence, do not change. The separatism tension points have shifted from the traditional causes and motives for the growth of separatist sentiment to a combination of crude and veiled support for separatism and the use of its potential on a global scale by the governments of the leading countries. The process of reformatting the consciousness and politics of the supporters of separatism, who have created their own nation-states, has gained momentum.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.211

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 head0.065
GPT teacher head0.368
Teacher spread0.303 · 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
Published2020
Admission routes1
Has abstractyes

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