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SOCIAL AND POLITICAL VIEWS OF NAZHMUDDIN GOTSINSKY (1859-1925)

2018· article· en· W3126569573 on OpenAlexaboutno aff
Imanutdin Kh. Sulaev

Bibliographic record

VenueStudy of Religion · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsMemoirTragedy (event)Quarter (Canadian coin)Period (music)Spanish Civil WarPolitical scienceLawHistoryEconomic historyReligious studiesAncient historySociologySocial scienceArtPhilosophyAestheticsArchaeology

Abstract

fetched live from OpenAlex

The author tries to analyze the socio-political views of one of the authoritative religious and public figures of the North Caucasus and Daghestan in the first quarter of the 20th century - a mufti-imam Nazhmuddin Gotsinsky basing on the published works of different years, memoirs of the participants in the revolution and the Civil War, archival documents. The author analyzes the views of N. Gotsinsky through his key speeches, sermons and proclamations of 1917-1918. Nazhmuddin Gozinsky is a famous politician and spiritual leader, chairman of the Spiritual Council of the Union of United Mountaineers of the North Caucasus and Dagestan. He was one of the leaders of the counter-revolutionary movement in Dagestan in 1917-1921. On the basis of the studied materials the author draws a conclusion that social and political and social views of Nazhmuddin Gotsinsky reflected all contradictions of the revolutionary period and tragedy of the Civil war.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.073
GPT teacher head0.395
Teacher spread0.322 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2018
Admission routes1
Has abstractyes

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