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Record W4294536967 · doi:10.18254/s207987840021547-0

The Map of Cultural-Archaeological Areas of Eastern-European Plain in the 10th Century (to the Problem Posed)

2022· article· en· W4294536967 on OpenAlexaboutno aff
Aleksey Schavelev

Bibliographic record

VenueIstoriya · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeologyGeopoliticsInterpretation (philosophy)Quarter (Canadian coin)HistoryGeographyAncient historyLawComputer science

Abstract

fetched live from OpenAlex

The paper presents an experimental map of archaeological cultural areas of the East European Plain in the 10th century, each of which represents a set of archaeological cultures and groups of archaeological complexes similar in a number of characteristics. In the paper the necessity of revision of traditional approach to the interpretation of the archaeological date of the East European plain, which is based on a rigid, but often a priori binding of groups of archaeological monuments to politonyms and ethnonyms, known from written sources, is substantiated. Since archaeological cultures have been named on the basis of such identifications, there is a need to revise the principles of their designation (naming). A bird’s-eye view of the East European Plain made it possible to see the process of the revolutionary transformation of this part of the geopolitical mega-structure of Eurasia, which took place during the “long 10th century”, from the last quarter of the 9th to the middle of the 11th century.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.011
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.029
GPT teacher head0.275
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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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