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Record W4388299796 · doi:10.53737/2126.2023.72.71.010

ON THE CIRCUMSTANCES OF THE BURIAL OF HUMAN REMAINS IN HERMONASSA

2023· article· ru· W4388299796 on OpenAlexaboutno aff
Tat’jana Anatol’evna Il’ina, Н.Г. Свиркина, Д. В. Веселкова

Bibliographic record

VenueProceedings in Archaeology and History of Ancient and Medieval Black Sea Region · 2023
Typearticle
Languageru
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDemolitionSettlement (finance)PopulationArchaeologyCivilian populationPeriod (music)Quarter (Canadian coin)Human lifeGeographyHistoryAncient historyDemographyLawArtPolitical scienceSociology

Abstract

fetched live from OpenAlex

В процессе исследования горизонта третьей четверти III в. в северной части Гермонассы обнаружены свидетельства пожаров и разрушений, а также хозяйственные ямы с человеческими костными останками разной комплектности. Последние характеризуются половозрастной вариабельностью. Часть останков принадлежит мирному населению, погибшему во время вооружённого конфликта; признаки обезглавливания и скальпирования могут рассматриваться как маркёр, идентифицирующий нападавших. Контекст обнаружения останков указывает на то, что хозяйственные ямы использовались для санитарных захоронений. Через короткий промежуток времени после нападения мирная жизнь на городище возобновилась. Traces of fires and demolition in the northern part of Hermonassa were traced as a result of the study of the strata dating back to the third quarter of the 3rd century. Human remains of various completeness were found in the pits. Sex and age variability of the buried indicates a civilian population killed during the armed conflict, while decapitation and scalping marks can be considered as a marker that identifies the attackers. The pits were used as hygienic burials. Peaceful life in the settlement resumed in a short period of time after the attack.

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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.983

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 studies0.0000.019
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.246
Teacher spread0.199 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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