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Record W4206127743 · doi:10.31857/s086919080017957-9

Bone Sleeve with Aramaic Letters from the Sakar-Chaga 3 Burial Ground and the Problem of Contacts of Central Asian Nomads with the Civilizations of Western Asia

2021· article· en· W4206127743 on OpenAlexaboutno aff
Archil S. Balakhvantsev

Bibliographic record

VenueVostok Afro-Aziatskie obshchestva istoriia i sovremennost · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsnot available
Fundersnot available
KeywordsTreasureQuarter (Canadian coin)Ancient historyExcavationArchaeologyHistoryGeologyGeography

Abstract

fetched live from OpenAlex

After excavations of the mound Arzhan-2, the main burial of which dates back to the second half of the 7th century BC, the scholars could not help but raise the question of the contacts of its creators with the civilizations of the Near East. In order to determine the main circle of contacts of Arzhan-2 in the Near East, it is necessary to summarize all the facts that may indicate the existence of such ties. The presence of coriander in the burial mound, as well as jewelry decorated with grain and enamel, made using the true cloisonne technique, proves that the connections of Arzhan-2 in the southwestern direction reached at least Western Iran. The influence of the cultural traditions of Western Asia on the material complex of the Arzhan-2 mound was facilitated by the Sakas of the Aral Sea region. The discovery in the Sakar-chaga 3 burial ground bone sleeve with the image of two opposing wild boars, the closest analogies of which are found in the Arzhan-1 and Arzhan-2 mounds, and the Aramaic letters yod, he and waw, belonging to the last quarter of the 8th – 7th centuries BC, allows us to assert that the Sakas penetrated as far as the state of Mannea, in which the Aramaic script was used, and jewelry decorated with grain and cloisonne (a treasure from Ziwiye) are also known. Moreover, these campaigns could be made only before the formation of the Median kingdom at the end of the 670s BC.

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 score0.427
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.222
Teacher spread0.208 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueVostok Afro-Aziatskie obshchestva istoriia i sovremennostSame topicEurasian Exchange NetworksFrench-language works237,207