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A Witness of the Matrimonial Rituals from Old Novgorod. Inscription on a Bone from the 13th Century Excavated 2020

2021· article· en· W4285513869 on OpenAlexaboutno aff
М А Бобрик, Viktor K. Singkh

Bibliographic record

VenueSlovene · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWitnessFolkloreQuarter (Canadian coin)HistoryValue (mathematics)ArtLiteratureTerminologyMiddle AgesClassicsAncient historyArchaeologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

In the summer of 2020, a fragment of a cow's rib with a Cyrillic inscription was found at excavations in Novgorod. The place of the find is one of the richest boyar estates in the Lyudin quarter of medieval Novgorod. The time of the document hitting the ground is the last quarter of the 13th—the first twenty years of the 14th century. The inscription is fully preserved, it contains a whole readable message. The historical and cultural value of the find lies in the content of its compact inscription: it is unique evidence of a bride-price agreement. The terminology is of value: the bride, on whose behalf the text is written, and the groom (addressee) are designated not by their own names (Christian or pre-Christian), but by the images of the ritual folklore of the wedding — kuna ‘marten’ (she) and sobol’a ‘sable’ (he). The bride-price is no less interesting. The text communicates an idea of a dialogue between the two sides of the marriage ritual. The new evidence of the matrimonial rites and the associated oral-written communication expands our understanding of this sphere of medieval culture and allows us to correct some interpretations of the few birch bark letters on the topic of marriage.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.008
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.024
GPT teacher head0.196
Teacher spread0.172 · 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 designNot applicable
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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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