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Record W4404037940 · doi:10.31857/s0869541524030094

Eurasian back-migration: traces in mythology?

2024· article· en· W4404037940 on OpenAlexfundno aff
Yuri Berezkin

Bibliographic record

VenueEtnograficheskoe obozrenie · 2024
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersNanzan UniversityLunds UniversitetUniversity of WashingtonYale UniversityAlaska Pacific UniversityArctic Institute of North AmericaSuomalainen TiedeakatemiaUniversity of ChicagoHarvard UniversityGoddard Space Flight CenterSmithsonian Institution
KeywordsMythologyHistoryAncient historyClassics

Abstract

fetched live from OpenAlex

The author examines the world distribution of mythological motifs peculiar for Northeast Africa but absent in other parts of this continent. The corresponding narratives describe the events of the time of creation, objects and beings localized at the ultimate limits of the human world as well as episodes of the journeys of heroes to these limits. The motifs in question are absent in Central Asia and Siberia but found across Western, South and Southeast Asia, in Oceania and across the New World. Considering such distribution, these stories probably appeared at the early stages of the peopling of the oikumene (definitely before the peopling of the New World) and were brought to Africa by the populations engaged into the Eurasian back-migrations that were going since the Terminal Pleistocene and possibly earlier.

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, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.008

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 head0.052
GPT teacher head0.403
Teacher spread0.351 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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