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Record W7104528304 · doi:10.55086/sp254171220

Interdisciplinary Research of Chernyakhov Culture Materials of the 4th Century AD from the Dalniy (Vydrin) Burial Ground in the Upper Reaches of the Sudzha River

2025· article· W7104528304 on OpenAlexaboutno aff

Bibliographic record

VenueStratum plus Archaeology and Cultural Anthropology · 2025
Typearticle
Language
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChronologyPeriod (music)Quarter (Canadian coin)Radiocarbon datingPortrait

Abstract

fetched live from OpenAlex

The article introduces previously unpublished materials studied on the Dalny (Vydrin) burial ground of the Chernyakhov culture in the upper reaches of the Sudzha River, an interfluvial area between the Sejm and Psel rivers. During the field work, 20 inhumation burials were excavated. So far, traces of cremation burials are known only by stray finds, including seven male, nine female, and three children’s; two are ritually destroyed. All burials can be dated to phases C3/D1 (second quarter of the 4th — the end of the 4th century). A rich burial of a man about 40 years old was revealed, which, based on material evidence, allowed him to be attributed to representatives of the military nobility. As a result of the typological analysis of chronological markers from the burial, this complex is late relative to the chronology of the Chernyakhov antiquities and belongs to the end of the 4th — the turn of the 4th/5th centuries. The study of the anthropological series was conducted according to a comprehensive program, including descriptive techniques, measurement methods, analysis of physiological stress markers, and pathologies. For the first time, data on the ratio of light nitrogen and carbon isotopes in bones and tooth enamel will be published, providing an opportunity for paleodietological and paleoecological reconstructions. Portrait reconstructions of 8 people buried in the burial ground (3 men and five women) were performed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.101
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.047
GPT teacher head0.342
Teacher spread0.296 · 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 designQualitative
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
Published2025
Admission routes1
Has abstractyes

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