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Record W4380520795 · doi:10.6000/1929-4409.2020.09.268

The Separatist Conflict

2022· article· en· W4380520795 on OpenAlexvenueno aff
A.R. Zaripova, Aidar Zakirov

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsnot available
FundersKazan Federal University
KeywordsEthnic groupAppealContext (archaeology)InstrumentalismPolitical sciencePrismEthnic conflictFocus (optics)CriminologyGender studiesSociologyGeographyLawEpistemology

Abstract

fetched live from OpenAlex

There is a strong opinion among researchers of regional processes about the relationship of separatism with ethnicity. For the effective regulation of separatist conflicts, it is important to assess the importance of ethnicity in the development of separatism and to determine whether ethnicity and separatism are always united by a causal relationship. The primary purpose of the study is to focus on the process of ethnicization of separatist conflicts. The focus is on the issue of endowing separatist conflicts with ethnic characteristics; and the causes of the conflicts initially lay in a non-ethnic plane. This study seeks to analyse the reasons for the appeal of separatism to the topic of ethnicity; the instrumental possibilities of ethnicity in the context of separatism are assessed. To that end, the concept of ethnicity in this survey is taken into consideration through the prism of instrumentalism.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.060
GPT teacher head0.386
Teacher spread0.325 · 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
Published2022
Admission routes1
Has abstractyes

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