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Record W4210288110 · doi:10.26485/aal/2021/67/4

A Hoard of Russian Coins of the 18th Century from the Village of Emylivka (Holovanivsky District of Kirovohrad Region)

2021· article· en· W4210288110 on OpenAlexaboutno aff
Olexander Bondarenko, Valerii Kapeliushnyi, Mykola Tupchiyenko, Dmytro Shvets

Bibliographic record

VenueActa Archaeologica Lodziensia · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHoardLithuanianCommonwealthQuarter (Canadian coin)EmpireAncient historyEconomic historyGeographyHistoryArchaeology

Abstract

fetched live from OpenAlex

In the spring of 2020 in the vicinity of the village Yemylivka (Golovanivskyi district, Kirovohrad region) local residents carrying out agricultural work accidentally discovered a hoard placed in a clay pot (Fig. 1). The deposit comprised coins which were in circulation in the Russian Empire during the XVIII century. The vast majority of the coins in the hoard are large-format copper 5 kopeck coins amounting to 40 pieces, as well as two silver rubles. Accordingly, the total value of the deposit is 4 rubles. The oldest coin of the complex is a ruble of 1731, and the youngest a 5 kopeck piece of 1786. The presence in this coin deposit of the XVIII century of only 2 silver rubles, minted in the 1730s, indicates the insignificant presence of large denomination silver coins in the money market of southern Ukrainian lands on the border with the Polish-Lithuanian Commonwealth in the last quarter of the XVIII century. This is due to the monetary policy of the Russian authorities in Ukraine, relating to a ban on the export of silver coins outside the empire. This hoard of Russian coins of the XVIII century, which has already been the object of scientific attention, has several interesting features, in particular the presence in the hoard of two silver ruble coins, which furthermore are previously undescribed varieties. This hoard expands the our knowledge about the circulation of money in the Southern Ukraine in the XVIII century, especially in the lands bordering the Polish-Lithuanian Commonwealth.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.019

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 studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.216
Teacher spread0.186 · 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
Published2021
Admission routes1
Has abstractyes

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