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Burials of the Late Middle and Early Late Bronze Age Burial Mound No. 1 of the Gudermess Burial Mounds No. 1

2022· article· en· W4313210647 on OpenAlexaboutno aff
Gamzat Dibirovich Ataev, Vladimir Yur'evich Malashev, Murad Shakhbanovich Saipudinov

Bibliographic record

VenueGenesis исторические исследования · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicAncient and Medieval Archaeology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBronze AgeBronzeArchaeologyPopulationRiteAncient historyIron AgeGeographyBeakerQuarter (Canadian coin)HistoryDemography

Abstract

fetched live from OpenAlex

The article is devoted to the burials of the late Middle and early Late Bronze Age burial mound No. 1 of the Gudermes Burial Mounds No. 1, excavated in 2017. Burials in the mound belong to three cultural and chronological groups. The earliest is burial No. 18 of the late stage of the Maikop culture. The main group is the entrance burials of the early stage of the Middle Bronze Age. The burials of the late Middle and early Late Bronze Age considered in the article are let into the eastern and southern sectors of the mound, sometimes with the disassembly of the shell stones. They are committed in a strongly crouched position. In the inventory of late burials, as well as in the funeral rite, there are features characteristic of burials of the early stage of the Middle Bronze Age belonging to the North Caucasian culture, and for the inventory of monuments of the Kayakent-Khorochoy culture of Eastern Chechnya and Dagestan. Sporadically, they also penetrate into the territory of Eastern Chechnya and Northern Dagestan. The newcomer North Caucasian population played a significant role in the ethno-cultural processes on the territory of the North-Eastern Caucasus, but later in the second quarter of the II millennium BC. differences between individual population groups disappear as a result of assimilation of alien tribes by local ones. gradually, signs of a new Kayakent-Khorochoy culture are beginning to mature, as evidenced by the funeral rite and inventory of the monument under consideration.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.220
Teacher spread0.183 · 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 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
Published2022
Admission routes1
Has abstractyes

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