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Record W4285144084 · doi:10.26516/2227-2380.2022.39.14

Bioarchaeological Analysis of Human Remains from the Destroyed Early Neolithic Cemetery of Moty – Novaia Shamanka (Cis-Baikal)

2022· article· en· W4285144084 on OpenAlexafffund
Rebecca L. Bourgeois, Andrzej Weber, Vladimir I. Bazaliiskii, Hugh McKenzie, Angela R. Lieverse

Bibliographic record

VenueBulletin of the Irkutsk State University Geoarchaeology Ethnology and Anthropology Series · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsMacEwan UniversityUniversity of SaskatchewanUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of CanadaPolar Knowledge CanadaUniversity of AlbertaUniversity of Saskatchewan
KeywordsArchaeologyRadiocarbon datingBronze AgeHuman boneBioarchaeologyChronologyExcavationPeriod (music)GeographyAncient historyHistoryBiologyArt

Abstract

fetched live from OpenAlex

Moty – Novaia Shamanka (MNS) is an Early Neolithic (7560–6660 HPD cal BP) destroyed Kitoi cemetery, located on the lower Irkut River in Siberia. In 2014–2015, small rescue excavations were conducted by archaeologists from Irkutsk State University. MNS dates to the period between the two phases of use identified at the nearby Shamanka II Kitoi cemetery (Southwest Baikal). This paper presents the results of a bioarchaeological study of the human skeletal remains from MNS and discusses these findings in relation to hunter-gatherer life-history at this site and in the Cis-Baikal region. The human skeletal materials from MNS show life history markers, including isotopic signatures, consistent with the other Early Neolithic Kitoi samples. However, one individual shows anomalous isotopic signatures similar to those found, to date, only in one other Kitoi burial. Lastly and surprisingly, radiocarbon dating identified one Early Bronze Age individual (4970–3470 cal BP).

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)0.000
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 score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.217
Teacher spread0.190 · 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

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueBulletin of the Irkutsk State University Geoarchaeology Ethnology and Anthropology SeriesSame topicForensic Anthropology and Bioarchaeology StudiesFrench-language works237,207