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Record W161432294

МЕТАЛЛООБРАБОТКА НАСЕЛЕНИЯ ЕЛУНИНСКОЙ КУЛЬТУРЫ ВЕРХНЕЙ ОБИ (предварительные результаты металлографического исследования)

2010· article· ru· W161432294 on OpenAlexaboutno aff
Дегтярева Анна Давыдовна, Грушин Сергей Петрович, Шайхутдинов Вадим Минневадильевич

Bibliographic record

VenueVestnik arheologii, antropologii i ètnografii · 2010
Typearticle
Languageru
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)CITESRaw dataPopulationGeographyArchaeologyComputer scienceDemographySociologyBiology
DOInot available

Abstract

fetched live from OpenAlex

The article cites data on development of metal process with population of the Yelunino culture (last quarter of III first quarter of II millennium B.C.) from the Ob-and-Irtysh basin. Basing on using data of metallographic and X-ray-fluorescent analysis regarding metal articles, the authors consider technological questions of bronze foundry work and raw material sources.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0060.031
Scholarly communication0.0010.001
Open science0.0040.003
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0310.008

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 head0.022
GPT teacher head0.256
Teacher spread0.234 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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