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Modern Human Behavior

2020· reference-entry· en· W3043521036 on OpenAlexaff
Pamela R. Willoughby

Bibliographic record

VenueOxford Research Encyclopedia of Anthropology · 2020
Typereference-entry
Languageen
FieldPhysics and Astronomy
TopicSpace Science and Extraterrestrial Life
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHomo sapiensHuman evolutionOut of africaUpper PaleolithicGlobeHominidaePaleoanthropologyEvolutionary biologyGenealogyGeographyHistoryBiological evolutionBiologyArchaeology

Abstract

fetched live from OpenAlex

Abstract In evolutionary terms, a modern human is a member of our own species, Homo sapiens. Fossil skeletal remains assigned to Homo sapiens appear possibly as far back as 300,000 or 200,000 years ago in Africa. The first modern human skeletal remains outside of that continent are found at two sites in modern Israel, the Mugharet es Skhūl and Jebel Qafzeh; these date between 90,000 and 120,000 years ago. But this just represents a short, precocious excursion out of Africa in an unusually pleasant environmental phase. All humans who are not of direct sub-Saharan African ancestry are descended from one or more populations who left Africa around 50,000 years ago and went on to colonize the globe. Surprisingly, they successfully interbred with other kinds of humans outside of Africa, leaving traces of their archaic genomes still present in living people. Modern human behavior, however, implies people with innovative technologies, usually defined by those seen with the earliest Upper Paleolithic people in Eurasia. Some of these innovations also appear at various times in earlier African sites, but the entire Upper Paleolithic package, once known as the Human Revolution, does not. Researchers have had to split the origin of modern biology and anatomy from the beginnings of modern cultural behavior. The first clearly evolves much earlier than the latter. Or does it?

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.046
Threshold uncertainty score0.153

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0460.009

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 head0.085
GPT teacher head0.410
Teacher spread0.324 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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