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Record W7128223761 · doi:10.22378/kio.2025.2.163-183

Muslim metric books of the Tauride province of Bakhchisarai district: analysis, transliteration and translation of content

2025· article· tt· W7128223761 on OpenAlexaboutno aff
Elmira E. Abibullaeva

Bibliographic record

VenueCrimean Historical Review · 2025
Typearticle
Languagett
FieldSocial Sciences
TopicOttoman Empire History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TransliterationMetric (unit)CraftState (computer science)Metric system

Abstract

fetched live from OpenAlex

The article is a review of the Muslim metric books of Bakhchisarai from the State Archives of the Republic of Crimea, which until today have not been subjected to detailed study. Based on textual analysis, some aspects of the daily life of the townspeople of Bakhchisarai in the 19th and early 20-th centuries were revealed to a certain extent. The identified data, first of all, makes it possible to find out the number of marriages, birth rates, causes of divorce, death, per year, in a certain quarter (makhalla). According to the materials reviewed in the book, it becomes clear in which city cemeteries the residents of certain neighborhoods were buried. Among other things Crimean Tatar female and male names, which nowadays rather seldom used, are recorded in metric books. Also, information is given in which quarter the child was born, and what craft his father does. In total, the Metric Books of the Bakhchisarai district of the Maalish Aga quarters (mahalla) for 1833–1835; the Khan-Jami Sherif quarter for 1878; the Osman-Aga quarter for 1833; the Syrly-Cheshme quarter for 1834–1835, and the Molla Mustafa quarter for 1848 were reviewed and analyzed.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.003
Science and technology studies0.0000.001
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 head0.069
GPT teacher head0.313
Teacher spread0.244 · 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 designNot applicable
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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