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Unknown church in the western part of Tver Kremlin

2021· article· en· W3169917761 on OpenAlexaboutno aff
Aleksey M. Salimov, Elena A. Romanova, Vasily V. Danilov

Bibliographic record

VenueVestnik slavianskikh kul’tur [Bulletin of Slavic Cultures] · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
FundersRussian Foundation for Basic Research
KeywordsConsecrationYardQuarter (Canadian coin)ArchaeologyAncient historyPeriod (music)ArtHistory

Abstract

fetched live from OpenAlex

The present paper explores the history of one of the Tver Kremlin cemeteries first surveyed archaeologically in 1998 (figure 1). Based on the analyses of the material gained and its dating the authors indicate the period of the studied part of necropolis functioning as the second quarter of the 16th – the border of the 16–17th centuries (figures 2–5). The cemetery existed by the wooden church which was destroyed probably in the period of “the Time of Troubles” in the early 17th century. The church stood in the western part of the Tver Kremlin, 200 meters to the west of central ensemble of stone temples including the Cathedral of Transfiguration of Our Saviour as well as constructions of Prince’s Yard and the Bishop’s one. The consecration of the necropolis’ church has been determined probably as “the Church of Life-giving Trinity over the Bishop’s Yard” [6, р. 296]. Authors came to the conclusion on the basis of studying several written and archaeological sources.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.030
GPT teacher head0.258
Teacher spread0.228 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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