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Record W4389288074 · doi:10.14258/tpai(2023)35(2).-06

BRIDLE SETS IN THE POPULATION OF THE NORTHERN ALTAI IN THE ROURAN PERIOD (ON THE MATERIALS OF THE CHOBURAK-I NECROPOLIS)

2023· article· en· W4389288074 on OpenAlexaboutno aff
N. Seregin, А. Тишкин, S. S. Matrenin, T. Parshikova

Bibliographic record

VenueTeoriya i praktika arkheologicheskikh issledovaniy · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
FundersRussian Science Foundation
KeywordsPeriod (music)PopulationAncient historyArchaeologyQuarter (Canadian coin)GeographyArtHistoryDemography

Abstract

fetched live from OpenAlex

The article presents the results of the study of bridle sets from the Choburak-I necropolis located in the Chemal region of the Altai Republic. Details of the bridle were found in the graves of ten adults buried with a riding horse. The published collection of things included metal (mainly iron) products of various functional and decorative purposes: bits, cheek-pieces, buckles, badges, tips and distributors of belts, clasps, trench coats, fasteners, lining of the neckpiece. A morphological analysis of the indicated objects was carried out, as well as their comparison with elements of horse equipment from the complexes of the Bulan-Koby culture and sites of the Great Migration period excavated in adjacent territories. The general and special features of the manufacture of various bridle accessories by the population of Altai in the second half of the 4th–first half of the 5th centuries AD are revealed. The analyzed sources demonstrate the influence of the material traditions of the nomads of Central Asia in the second quarter of the 1st millennium AD, as well as the local heritage of the Bulan-Koby culture, on the appearance of the outfit of the riding horse of the Rouran period. It has been established that some modifications of bits, cheek-pieces, plaques and distributors also existed at the initial stages of the development of the culture of the early medieval Turks in Altai.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.262
Teacher spread0.215 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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