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Record W4390758553 · doi:10.55086/sp235139149

Early Medieval Children’s Burials from a New Burial Ground in Staraya Ladoga

2023· article· en· W4390758553 on OpenAlexaboutno aff
Marianna Pavlova

Bibliographic record

VenueStratum plus Archaeology and Cultural Anthropology · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Grave goodsArchaeologyMiddle AgesArchaeological evidenceAncient historyGeographyHistory

Abstract

fetched live from OpenAlex

The article introduces scientific data regarding a multi-layered ground burial discovered in 2022 in Staraya Ladoga. Most of the necropolis’ burials are west-facing inhumations without grave goods. On this background, two children’s burials in rounded pits with the accompanying grave goods, dated by the last quarter of 9 th — second quarter of 10 th centuries, are of particular interest. Hence, they are the main focus of the publication. A detailed description of the burials’ details and an analysis of ware complexes are given. The text is supported by illustrations, which contain all of the items from the burials. The burials are some of the earliest inhumations in the early medieval Ladoga, along with the chamber burials of the kurgan burial ground and the sopka-like mound at the Plakun tract. Central position in the burial pit, uniformity of its filling, absence of violent actions evidence, as well as careful placement of the accompanying grave goods, all make it possible to exclude the ritual or sacrificial purpose of the children’s burials and to consider them a part of the “ordinary” ceremonial burial tradition, applicable to any member of the community that the necropolis belonged to. The new ground burial expands the developed zone of the early medieval Ladoga in the last quarter of 9 th — second quarter of 10 th centuries and increases the variety of different funerary sites.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.011
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.282
Teacher spread0.246 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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