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Record W3003859337 · doi:10.37445/adiu.2019.02.43

NOTES ON GREEK, ITALIC AND MACEDONIAN BRONZE VESSELS OF THE SCYTHIANS AND MAIOTIANS

2019· article· en· W3003859337 on OpenAlexaboutno aff
Мikhail Treister

Bibliographic record

VenueArchaeology and Early History of Ukraine · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMacedonianBronzeQuarter (Canadian coin)Ancient historyBronze AgeArchaeologyHistoryGeography

Abstract

fetched live from OpenAlex

Discussed are Greek, Italic and Macedonian bronze vessels found in Scythia and Maoitia. In general, mostly contemporary new vessels were received by the nomads, which quite often in course of durable usage lost some of their elements.The fact of durable usage of imported metalware is attested by the finds from well dated contexts of the ritual complexes of the Ulyap necropolis.
 The most valuable information is provided by the complex of 15 bronze vessels found near the village of Peschanoe in the valley of the River Supoi in the Dnieper basin, whose owner was designated as a trader of old metalware by W. Fuchs in 1978. A significant chronological dispersion of the vessels from the complex (ca. 150—170 years) makes us cautious about the idea that this was an ordinary trade cargo. Analysis of the traces of repair and losses of vessel elements shows that among them there are some, which may probably be the result of correcting of defects during the manufacture, as well as losses and repairs that occurred during the use of vessels. The latest vessels from this find, dated not earlier than the middle / third quarter of the 4th century BC, of Macedonian or Thracian origin, show no losses and no repairs.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score0.996

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 studies0.0000.007
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.197
Teacher spread0.178 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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