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Record W4312190214 · doi:10.15688/nav.jvolsu.2022.2.8

Maeotian Vases and Lekanes

2022· article· en· W4312190214 on OpenAlexaboutno aff
Natalya Limberis, Ivan Marchenko

Bibliographic record

VenueNizhnevolzhskiy Arheologicheskiy Vestnik · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPotteryArchaeologyQuarter (Canadian coin)ChronologyArtGray (unit)Ancient historyGeologyGeographyHistory

Abstract

fetched live from OpenAlex

The paper examines a small series of two-handled gray-clay vases and lekanes from the Maeotian sites of the Kuban region. All the vessels were made on rapidly rotating pottery wheels. Greek amphorae, found together with the vessels in the same burials, allow us to determine precise chronological framework for each complex and vessel type. The main common specific feature of the vases type is two vertical arched handles located on the rim. These vessels were produced under the influence of ancient pottery and come in two types: type 1 – on a high hollow pallet; type 2 – on a low ring pallet. Vases of type 1 date back to the end of the first quarter to the second quarter of the 4th century BC. The chronology of vases of the second type is limited to the end of the first quarter – the end of the 4th century BC. The two double-handled bowls that in details repeat the exact shape of the Greek lekane of the late 5th – early 4th century BC belong to a specific type of the studied tableware. The Maeotian lekanes come from burials of the first quarter of the 4th century BC. The established time frame of the gray-clay vases and lekanes of the Maeotian culture enables their use in determining chronology of the burials which contain no amphorae or other material suitable for precise dating.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.037
GPT teacher head0.220
Teacher spread0.182 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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