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Record W3198590794

КЕРАМИКА ПОСЕЛЕНИЯ ГОВЯДИНОВО (ИЗ ИССЛЕДОВАНИЙ В.И. СМИРНОВА, 1925-1926, 1928 ГГ.)

2019· article· ru· W3198590794 on OpenAlexaboutno aff
Александр Викторович Новиков

Bibliographic record

VenueАрхеология Евразийских степей · 2019
Typearticle
Languageru
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Quarter (Canadian coin)Bronze AgePopulationArchaeologyGeographyHistoryAncient historyDemographySociologyBusiness
DOInot available

Abstract

fetched live from OpenAlex

The paper considers ceramics obtained as a result of works on the settlement Goviadinovo held by Kostroma scientifi c society under the leadership of V.I. Smirnov in 1925-1926, 1928. Settlement Goviadinovo is the monument of a multiple settling, the main complex of ceramics from it corresponds with the second half of the II Millennium BC. The review of materials of the settlement allows examine the issues related to the cultural situation in the territory of the Kostroma lowland in the Late Bronze Age. The author makes a conclusion about the presence of some mixed features in ceramics of the Late Bronze Age, obviously manifested as a result of contacts of population groups and the infl uence of diff erent traditions of ceramics manufacturing. The author also attempts to highlight its individual features and analyzes the ceramics of the second – the beginning of the third quarter of the I Millennium AD.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.024
GPT teacher head0.232
Teacher spread0.208 · 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
Published2019
Admission routes1
Has abstractyes

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