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NUMISMATIC MATERIALS FROM THE EXCAVATIONS AT THE PETER AND PAUL FORTRESS IN 2017 AND 2019 AND THEIR BEARING ON THE DATING OF THE CULTURAL LAYER

2020· article· en· W3110925563 on OpenAlexaboutno aff
Konstantin Gorlov, V. KILDYUSHEVSKY

Bibliographic record

VenueTRANSACTIONS OF THE INSTITUTE FOR THE HISTORY OF MATERIAL CULTURE Russian Academy of Science · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsFortress (chess)ArchaeologyExcavationSAINTHoardHistoryAncient historyQuarter (Canadian coin)ArtClassicsArt history

Abstract

fetched live from OpenAlex

A log-and-earth fortress on Zayachy island in the Neva River mouth was erected in 1703 by direction of Peter the Great. The building works took a short period from early May to late August. The construction of the stone fortress started in 1706. In 2017 and 2019, in the course of archaeological excavations carried out by IHMC RAS, a unique cultural layer with remains of the first log-and-earth fortress was discovered on the territory of the Menshikov bastion. Among the most important finds there are 18 coins issued by Peter I, including 14 wire kopecks, three copper quarter-kopeck pieces, and one copper half-kopeck coin. Two more coins with denomination of 1/6 öre were issued by Charles Х of Sweden (fig. 1; table). This numismatic collection is a reliable dating material, allowing to identify the constructions found in the cultural layer as the first log- and-earth fortress of Peter the Great, that became the historical core of Saint Petersburg. Worthy of note is the presence in the collection of a number of coins minted with dies made with the same punches, and the absence of coins minted in 1703. The presence of Swedish coins may be indica- tive of the participation in the construction works of captive Swedish soldiers, who could have lost the coins. At the same time it cannot be excluded that these coins were brought to Zayachy island with earth from Nyenschanz, which was used as a source of building materials.

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)0.002
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 score0.021
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.007
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.006

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 head0.044
GPT teacher head0.220
Teacher spread0.176 · 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
Published2020
Admission routes1
Has abstractyes

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