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Record W4415879150 · doi:10.55086/sp255141153

Novoe Biksenteevo Hoards: Typology and X-ray Fluorescence Analysis

2025· article· W4415879150 on OpenAlexaboutno aff
Виктор Морозов, Владимир Вячеславович Ставицкий, Алексей Леонидович Смирнов, Антон Васильевич Лыганов, Victoria Danilevskaya

Bibliographic record

VenueStratum plus Archaeology and Cultural Anthropology · 2025
Typearticle
Language
FieldPhysics and Astronomy
TopicX-ray Spectroscopy and Fluorescence Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHoardOrnamentsTinZincTypologyImpurityQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

In 2022—2024, research in the Eastern Cross-Kama area in the territory of the Novoye Biksenteevo village revealed two hoards of bronze items from the Lomovatovskaya culture: 54 items in the first hoard and 12 in the second, a significant portion of which consisted of composite rattling jewelry. X-ray fluorescence analysis of these finds was carried out at the Collective Use Centre of IA RAS. Most of the items were made of tin-lead and tin bronze; in several items, the increased content of aluminum and zinc was recorded. A considerable variation in the percentage of the main impurities indicates that a significant part of the items were subjected to repeated remelting after their breakage. Most of the items were made of tin-lead and tin bronze, with the increased content of aluminum and zinc documented in a number of items. A considerable variation in the percentage of the main impurities indicates that a significant part of the items was subjected to repeated remelting after their breakage. Most of the jewelry items date back to the 7th century and find close analogies in female ornaments of the Permian Finnic cultures. The latest finds allow dating these hoards to the turn of the 7th—8th centuries or the first quarter of the 8th century.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.018
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.293
Teacher spread0.286 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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