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Заключительный этап истории в Восточном региональном образовании Скифии

2020· article· en· W3111034905 on OpenAlexaboutno aff
В. Копылов, Alexandr Kovalenko

Bibliographic record

VenueArchaeological News · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Quarter (Canadian coin)Ancient historyKingdomArchaeologyPopulationGeographyHistoryBlack seaDemographyGeologySociology

Abstract

fetched live from OpenAlex

The paper deals with all kinds of sources concerning the final stage of the Scythian history in the area of the Tanais river mouth. Comprehensive analysis of archaeological materials shows that the crisis, which led to the end of the Great Scythia, started long before the turn of the 3rd century BC. In the 3rd quarter of the 4th century BC the Elizavetovskoe settlement was attacked by the Bosporan Kingdom. Consequently, a Greek quarter was founded within the Scythian settlement, and it is highly possible that the Scythians lost some of their control over the region. At the end of the 4th century BC the Bosporan Kingdom finally conquered the Elizavetovskoe settlement, displaced its Scythian population and founded the Great Greek colony at the place. At the same time other Scythians stayed in the region. In the mid 70s of the 3rd centure BC, a sudden military attack destroyed the unfortified Greek colony. That concludes the Scythian history of the region. There is no evidence that the Sarmatians took part in the events of second half of the 4th — first half of the 3rd century BC. Tanais, a new Bosporan colony, was founded in the mouth of the Don river delta. It was during another stable period in the Northern Black Sea region, so up to the turn of the 2nd century BC Tanais had no fortifications.

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: none
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0120.005

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 head0.095
GPT teacher head0.252
Teacher spread0.157 · 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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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