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Record W3004265705 · doi:10.37445/adiu.2019.02.26

WEAPON OF THE EARLY IRON AGE FROM COLLECTION OF KAMYANKA HISTORICAL MUSEUM

2019· article· en· W3004265705 on OpenAlexaboutno aff
Yu. Yu. Lyashko

Bibliographic record

VenueArchaeology and Early History of Ukraine · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSWORDQuarter (Canadian coin)HistoryCenter (category theory)State (computer science)SharpeningAncient historyArchaeologyGeographyEngineeringComputer science

Abstract

fetched live from OpenAlex

The article is sanctified to description of standards of weapon twenty-four hours of early ferrous age, that is kept in the display of historical museum of Kamyanka of state Historical and Cultural Center reserve of the Cherkasy areal. In this paper, brief information is provided on similar analogues of weapons that were found on the territory of Ukraine. But their short description is made. Particularly worthy to highlight the Scythian sword-akinak, which is made in uncharacteristic for this type of form, with a slightly curved blade and one-sided sharpening. This type of weapon is a unique achievement of weaponry and dates from the second to the third quarter of the Vth century BC. Also at the end of the work there is a conclusion regarding the existence of certain types of weapons in the Prytyasminsky region.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.002

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 head0.020
GPT teacher head0.188
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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