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How far is too far? Circassian ethnic mobilization and the redrawing of internal borders in the North Caucasus

2015· article· en· W2001044094 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

VenueCommunist and Post-Communist Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPost-Soviet Geopolitical Dynamics
Canadian institutionsConcordia University
Fundersnot available
KeywordsEthnic groupBattleMobilizationHappeningPolitical scienceVictoryPolitical economyTabooHistorySociologyLawAncient historyPolitics

Abstract

fetched live from OpenAlex

The idea of redrawing the borders between the republics of the region remains a topic of discussion beyond its borders. While the Kremlin de facto makes the subject of territorial changes in the North Caucasus taboo, the processes related to the rise of ethnic selfconsciousness in ethnic republics hardly stopped. The Syrian crisis, which gave Russia a much-celebrated diplomatic victory, threatens its territorial integrity because Moscow’s mishandling of the Circassian issue is radicalizing the Circassian communities of the North Caucasus. Drawing on the dynamics of ethnic mobilization among Circassians, the paper argues that this process may result in the most dangerous consequences of the Kremlin’s policies based on the ancient imperial principle of “divide and rule” — redrawing the administrative map of the entire region. The paper concludes that even though Moscow pretends that the situation is under control, a shift which consequences are hard to predict is already happening. One of them is that the demand for an increased congruency between Russia’s ethnic and administrative borders becomes politically salient; and a protrusion in the battle line becomes more prominent with each passing day.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.005
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.080
GPT teacher head0.369
Teacher spread0.290 · 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