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Record W4390758578 · doi:10.55086/sp235151161

Children’s Burial of the Beginning of the Early Middle Ages from the Gorny- 10 Necropolis (South of Western Siberia)

2023· article· en· W4390758578 on OpenAlexaboutno aff
N. Seregin, N. Stepanova

Bibliographic record

VenueStratum plus Archaeology and Cultural Anthropology · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGrave goodsArchaeologyMiddle AgesQuarter (Canadian coin)Ancient historyPopulationHistoryGeographyDemography

Abstract

fetched live from OpenAlex

The article presents the results of studying of an extraordinary children’s burial excavated at the Gorny-10 necropolis. This complex, which today is the largest of the studied sites dated to the beginning of the early Middle Ages in the south of Western Siberia, is located in the Krasnogorsk region of the Altai Territory. The published object (grave 63) is an undisturbed burial of a 10—12-year-old child with representative accompanying grave goods, including horse equipment, costume elements, tools, jewelry and weapons. An analysis of the discovered items made it possible to establish the dating of the burial within the last quarter of the 6 th — the first half of the 7 th centuries AD. It has been established that the qualitative and quantitative composition of the finds indicates a high lifetime status of the buried person. There are grounds to assume that the originality of the grave goods was determined not only by the position of the child’s family, but also by his personal qualities, including participation in the traditional occupations of the early medieval population of the south of Western Siberia.

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 score0.570
Threshold uncertainty score0.970

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 studies0.0010.033
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.038
GPT teacher head0.255
Teacher spread0.217 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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