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Record W4391997044 · doi:10.62343/cjss.2018.171

The First Evidence of Burials from Samshvilde A Preliminary Archaeological and Bioarchaeological Study

2023· article· en· W4391997044 on OpenAlexaff
David Berikashvili, Isabelle Coupal

Bibliographic record

VenueCaucasus Journal of Social Sciences · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsArchaeologyBioarchaeologyGeographyHistory

Abstract

fetched live from OpenAlex

Samshvilde is one of the most remarkable archaeological complexesin southern Georgia and in Caucasia in general. Its convenientgeographical position has attracted populations since the StoneAge, but the city gained its major political and economic powerin the medieval period, when it became the center of the wholeregion. Its location in the historic Kvemo Kartli province, near thesouthern branch of the Silk Road, contributed to its rapid development,and the promontory on which it was built allowed for itseasy defense. From 2014 to 2019 two archaeological sections werestudied on the site: the citadel, or main fortification system, andthe area near the Sioni cathedral that is dated to the 8th century.Excavations inside the citadel walls aimed to clarify the stratigraphyof this area, and in the Sioni section the focus was on findingthe city cemetery.During the summers of 2016 and 2017 human remains were exhumedfrom the Sioni section at Samshvilde. A bioarchaeologicaland brief mortuary analysis of graves no. 2 and 4 is presented here.Fieldwork is still under way in the cemetery, therefore it is too soonto have a global image of its features, such as typical burial practices,or a demographic profile of the population, but we hope topursue this analysis in upcoming years.

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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.001
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 head0.152
GPT teacher head0.361
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

Citations3
Published2023
Admission routes1
Has abstractyes

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