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Record W3045154762 · doi:10.37445/adiu.2020.02.27

OLD RUS HOARD OF 2017 FROM THE OUTSKIRTS OF PEREIASLAV

2020· article· en· W3045154762 on OpenAlexaboutno aff
Oleksandr Kolybenko, O. О. Pryadko, Дмитро Тетеря

Bibliographic record

VenueArchaeology and Early History of Ukraine · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsHoardAdornmentArchaeologyAncient historyHistoryQuarter (Canadian coin)Period (music)GeographyArt

Abstract

fetched live from OpenAlex

The article analyses the history of the discovery of hoards of the 11th—13th centuries in the Pereiaslav city and its vicinity. It is customary to consider that their list has been contained until recently only four hoards found in the late nineteenth and early twentieth centuries: Pereiaslav (1884), Vitovtsi (1898), Pereiaslav (1912), Denysy (1912). For most of the twentieth — early twenty first centuries, no case of the hoard finding was officially recorded. But according to unofficial information such finds has indeed taken place. In 2017 the hoard of silver women’s adornment was accidentally found on a plowed field near Pereiaslav. The location of the find is at the low hill 40 meters from the left bank of the Alta river and 3.5 kilometers from the Annalistic Pereiaslav. In 2019 the hoard was transferred to the collection of the National Historical and Ethnographic Reserve «Pereiaslav». The hoard consists of 30 items: 2 temple rings, 4 lunulae, 6 beads, 7 coin pendants (cupic dirhams), 2 bracelets, 2 finger rings, 3 belt plates and 4 plaques. All items of the hoard dated to the 10th—11th centuries. The hoard was hidden, apparently, at the end of the 11th century. It significantly differs from all hoards used to be found in Pereiaslav Region. This is the set of personal adornment of one noble woman from Pereiaslav. The items allow you to ascertain the standard set of jewelry of a wealthy woman who did not belong to the princely rank. The hoard was hidden in the moment of danger but the owner never could take it back.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.999

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 studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.192
Teacher spread0.146 · 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.

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
Published2020
Admission routes1
Has abstractyes

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