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The Phenomenon of the Skull Masks of the Lower Amur Petroglyphs

2016· article· en· W2533286524 on OpenAlexaboutno aff
Zoya S. Lapshina

Bibliographic record

VenueJournal of Siberian Federal University Humanities & Social Sciences · 2016
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFolkloreMythologyIdeologyHistoryPower (physics)KinshipPhenomenonSkullWitchAestheticsArtLiteratureAncient historySociologyAnthropologyPoliticsPhilosophyPaleontologyLaw

Abstract

fetched live from OpenAlex

In the Lower Amur basin, there are numerous monuments of rock art. They are characterized by the predominance of skull masks. The semantic content of these artifacts allows to identify them as the main attributes of the rituals of the secret male unions. At the end of the Stone Age and the early Metal Age, the power of men and patrilineal kinship begin to prevail. The ancient model of the world was changed. The importance of the underground world and inevitability of death was dominating in the minds of the people. Authority was claimed through rituals with human sacrifices and cannibalism. The leader of the ritual was wearing a skull-type radiant mask. It was also drawn on the stones as the accumulation of power of the spirit-man-eater and called the "pile of cannibal". These facts are also observed in the rituals, folklore and petroglyphs of the Indians in Canada and North America. The theme of cannibalism is also present in the myths of the Amur indigenous peoples. The article describes the concept of the ideogram the "pile of cannibal" in the Lower Amur petroglyphs. The ideogram is presented as a three-part model of the world. The paper discusses the ideogram the "pile of cannibal" of Sikachi-Alyan and Sheremetyevo. This ideology and rituals could have been brought to 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 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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.332
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0170.002
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 head0.048
GPT teacher head0.301
Teacher spread0.253 · 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 designQualitative
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

Citations1
Published2016
Admission routes1
Has abstractyes

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