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Record W4380481935 · doi:10.6000/1929-4409.2020.09.314

Theme of Wine and Wine Drinking in Late Medieval Transoxiana Sufism in 16th Century

2022· article· en· W4380481935 on OpenAlexvenueno aff
Ramil Tagirovich Yuzmukhametov, Л. Э. Исмоилов, Markhabo Tukhtasunovna Rajabova

Bibliographic record

VenueInternational Journal of Criminology and Sociology · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicTurkish Literature and Culture
Canadian institutionsnot available
FundersKazan Federal University
KeywordsWineSufismWinemakingTheme (computing)IslamInterpretation (philosophy)Relevance (law)SociologyHistoryLawArtPhilosophyPolitical scienceVisual artsArchaeologyComputer science

Abstract

fetched live from OpenAlex

The article is devoted to wine drinking in the Sufi sources of Transoxiana of the 16th century, on the example of Manakibs. The importance of research on this topic lies in determining wine drinking in the secular and religious traditions of Muslim society. Besides, the topic's relevance is due to the insufficient study of the issues of semantic interpretation of the concept of wine in Sufi writings. Hence, this article aims to disclose the various meanings of the concept of wine contained in Sufi writings. The primary method in the study of this issue is the historical and comparative method, and the method of literary analysis, which allows creating a holistic view of the hidden images of wine in the Sufi writings of Maverannahr of the 16th century. It is known that wine, winemaking, and wine drinking for many centuries, despite strict Islamic prohibitions, were present in Muslim society, as evidenced by historical chronicles, literary works. This phenomenon also applies to the history of the State of the Timurids and Sheibanids, where winemaking and wine drinking were widely practiced among representatives of different sectors of society.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.019

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 studies0.0070.007
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.001
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 head0.031
GPT teacher head0.261
Teacher spread0.229 · 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 designObservational
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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