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Record W7061107757

The Phenomenon of the Skull Masks of the Lower Amur Petroglyphs

2016· article· en· W7061107757 on OpenAlexaboutno aff

Bibliographic record

VenueSibFU Digital Repository (Siberian Federal University) · 2016
Typearticle
Languageen
FieldPhysics and Astronomy
TopicGyrotron and Vacuum Electronics Research
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreMythologyPhenomenonSkullWitchCannibalismKinshipIdeologyPower (physics)
DOInot available

Abstract

fetched live from OpenAlex

In the Lower Amur basin, there are numerous monuments of rock art. They are characterized by the \npredominance of skull masks. The semantic content of these artifacts allows to identify them as the \nmain attributes of the rituals of the secret male unions. At the end of the Stone Age and the early Metal \nAge, the power of men and patrilineal kinship begin to prevail. The ancient model of the world was \nchanged. The importance of the underground world and inevitability of death was dominating in the \nminds of the people. Authority was claimed through rituals with human sacrifices and cannibalism. \nThe leader of the ritual was wearing a skull-type radiant mask. It was also drawn on the stones as \nthe accumulation of power of the spirit-man-eater and called the “pile of cannibal”. These facts are \nalso observed in the rituals, folklore and petroglyphs of the Indians in Canada and North America. \nThe theme of cannibalism is also present in the myths of the Amur indigenous peoples. The article \ndescribes the concept of the ideogram the “pile of cannibal” in the Lower Amur petroglyphs. The \nideogram is presented as a three-part model of the world. The paper discusses the ideogram the “pile \nof cannibal” of Sikachi-Alyan and Sheremetyevo. This ideology and rituals could have been brought \nto America by the migrants from the Amur River basin

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.010
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.005
GPT teacher head0.183
Teacher spread0.178 · 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
Published2016
Admission routes1
Has abstractyes

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