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Dated Muslim epigraphic monuments of the Solkhat/Kirim city and its environs

2024· article· en· W4400971091 on OpenAlexaboutno aff
Memedulla A. Useinov

Bibliographic record

VenueGolden Horde Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyTypologyAncient historyArabicChronologyPeriod (music)Quarter (Canadian coin)HistoryEpigraphyGeographyArtLinguistics

Abstract

fetched live from OpenAlex

Purpose of the study: Identification of patterns and heterogeneities in the chronological distribution of epigraphic monuments. An attempt to correlate dated material with certain events in the life of the medieval city of Solkhat/Kirim. Detection of chronological markers in the typology and design of lapidary monuments, on the basis of which it will be possible to give a chronological reference for monuments without dating. Research materials: The article contains information about more than a hundred dated epigraphic monuments with Arabic inscriptions found at different times on the territory of the Golden Horde city of Solkhat/Kirim and in its environs. The data was collected on the basis of lapidary material stored in museum and private collections, including 26 monuments that are being introduced into scientific circulation for the first time. The information mentioned in the works of Evliya Celebi, domestic researchers of the 19th to the beginning of the 20th century was taken into account, the studies of O.N. Akchokrakly, diaries and drawings of U. Bodaninsky, and photographic materials of archaeological expeditions of the 1920s. Research results: The work presents the distribution of dated monuments over the time period from the second half of the 13th century to the last quarter of the 15th century. Also presented are the results of the chronological distribution for some subtypes of grave monuments and the time frame for the use of the Turkic language on the epigraphic monuments of Solkhat/Kirim.

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)0.000
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: Review
Teacher disagreement score0.883
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.045
GPT teacher head0.340
Teacher spread0.296 · 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
Published2024
Admission routes1
Has abstractyes

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