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Peter I and Zheltikov Monastery in Tver

2023· article· en· W4366187556 on OpenAlexaboutno aff
Alexey Maratovich Salimov

Bibliographic record

VenueVestnik of Saint Petersburg State University of Culture · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsReverenceQuarter (Canadian coin)ArchitectureAncient historyHistoryResidenceArtOrder (exchange)ClassicsArt historyArchaeologyPhilosophySociology

Abstract

fetched live from OpenAlex

The Assumption Zheltikov Monastery in Tver is one of the oldest monasteries in the capital of the Upper Volga region. Founded at the end of the 14th century, already at the beginning of the 15th century it acquired the stone Assumption Cathedral, the original architecture of which became a bright page in the history of ancient Russian architecture of the 14–15th centuries. In the second half of the 17th century, the tradition of building stone constructions in the monastery was continued not without the participation of Tsar Alexei Mikhailovich, who treated Bishop Arseny, the founder of the Zheltikov monastery, with great reverence. These works were continued at the very beginning of the 18th century, when the monastery was surrounded by a high stone fence, and in the structure of its «front» eastern wall, a new Holy Gate with a gate temple in the name of St. Alexei the man of God appeared (until 1709). Near it, two-story stone chambers were built at the same time, which soon received the name «tsar’s palaces». The creation of the gate church with this dedication and the «tsarevich» chambers, according to sources of the second half of the 18th century, was due to the order of Peter I, which, according to researchers who wrote about this monastery since the last quarter of the 18th century, was caused by the fact that the tsar decided to make the Zheltikov monastery a kind of «country residence» for his son Tsarevich Alexei. The article attempts to determine when exactly Peter I could act as the customer of these structures, and who implemented the wishes of the monarch on the site.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.015
GPT teacher head0.232
Teacher spread0.217 · 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 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
Published2023
Admission routes1
Has abstractyes

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