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Record W2015999192 · doi:10.5539/jsd.v8n4p119

Islam in Life of the Polish-Lithuanian Tatars (The XIV-XIX Centuries)

2015· article· en· W2015999192 on OpenAlexvenueno aff
Yakov Y. Grishin

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsnot available
FundersKazan Federal University
KeywordsLithuanianIslamTatarCommonwealthHistoriographyHistoryReligious lifeSociologyAncient historyLawPolitical scienceReligious studiesPhilosophyArchaeology

Abstract

fetched live from OpenAlex

The urgency of the problem under investigation is caused by its being poorly studied in the national historiography. It is devoted to one of the main features distinguishing the Polish-Lithuanian Tatars from others – religion which they kept from the moment of emergence in the Grand Duchy Lithuania, further the Polish-Lithuanian Commonwealth. It was the sphere which is most attracting attention. Particular attention is paid to the peculiarities and specific character of the religious life of the Polish-Lithuanian Tatars, the disclosure of the activities of religious gmina – dzhemat that emerged in the XIV-XV centuries, mosques, construction of which began almost since “osadnichestvo” of Tatars, the place and role of the mullahs as authoritative, educated people and who had a great impact on the daily lives of their parishioners, the description of existing peculiar rituals associated primarily with the three most important moments of life: birth, marriage and death, Tatar cemeteries usually located at the mosques or at high hillocks, waqfs, and so on. This article is based on the basic principles of historical knowledge: the historicism and objectivity, allowing to provide scientific approach to the analysis of the historical processes happening in life of the Polish-Lithuanian Tatars. Materials of the article can be of interest to students, masters, graduate students, teachers specializing on Islam history, for those who are engaged in its studying in Eastern Europe.

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)0.002
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.588

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.273
Teacher spread0.247 · 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 designQualitative
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
Published2015
Admission routes1
Has abstractyes

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