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Record W4285410023 · doi:10.24852/pa2022.1.39.104.117

Late Bronze Age Metal Items from Tatarsky-Azibey III Site in the Mouth of the Belaya River

2022· article· en· W4285410023 on OpenAlexaboutno aff
Lyganov Anton V., Morozov Victor V.

Bibliographic record

VenuePovolzhskaya Arkheologiya (The Volga River Region Archaeology) · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsHoardDaggerArchaeologyBronzeBronze AgeExcavationPeriod (music)ChalcolithicQuarter (Canadian coin)HorizonAncient historySettlement (finance)HistoryArtMathematicsComputer scienceGeometry

Abstract

fetched live from OpenAlex

The paper discusses the metal items found in the territory of the Tatarsky-Azibey III site in 2020. The complex of metal items collected from the surface includes: five knives, a socketed axe with a frontal eye, a plaque, and an ornamented cutting tool. A bronze string was discovered within structure 1, excavation I. Based on the identified counterparts and chemical composition, these items belong to the late stage of the Lugovskaya culture and the Atabaevo stage of the Maklasheevka culture (16th/15th –13th centuries BC). A cutter (knife) for working with leather was crafted in a relatively earlier time period. Probably, this tool was initially the handle of a Seima-Turbino type of dagger, which was broken in antiquity. Thus, the time of creation of this item, similarly to the dagger handle, dates back to the Seimino chronological horizon of the late 3rd – first quarter of 2nd Millennia BC. The metal items discovered in the territory of the Tatarsky-Azibey III site are not related to the settlement hoard category; they appeared in the cultural layer as a result of unintentional actions of the carriers of Late Bronze Age cultures.

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 score0.040
Threshold uncertainty score0.079

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.190
Teacher spread0.173 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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