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Record W4413177240 · doi:10.1007/s12520-025-02285-5

Homo erectus technological behaviors during the Middle Pleistocene Transition: Engaji Nanyori, Oldupai Gorge

2025· article· en· W4413177240 on OpenAlexaff
Arturo Cueva-Temprana, María Soto, Pamela Akuku, Raquel Hernando, Siobhán Clarke, Julien Favreau, Stephen Peter Magohe, Abdallah Mohamed, Aloyce Mwambwiga, Nicole Boivin, Michael D. Petraglia, Julio Mercader

Bibliographic record

VenueArchaeological and Anthropological Sciences · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsAlberta EnergyMcMaster UniversityUniversity of Calgary
FundersMax-Planck-GesellschaftMinisterio de Ciencia e InnovaciónCentres de Recerca de CatalunyaUniversity of Dar es Salaam
KeywordsHomo erectusPleistoceneGeographyGeologyPaleontologyArchaeology

Abstract

fetched live from OpenAlex

Abstract The Acheulean technocomplex is a milestone in the evolutionary adaptability, technological development, and dispersal of Homo erectus . While the earlier phases of the Acheulean have been thoroughly investigated in Eastern Africa, reliably dated assemblages in environmental context spanning the Middle Pleistocene Transition (1.2–0.8 Ma) are extremely rare at a global scale. Engaji Nanyori (Bed III, Oldupai Gorge) is one of a few sites offering a window into Acheulean behavior during this critical period of climatic crisis and aridification. We study lithic assemblages from recent excavations of an Acheulean occupational sequence dated 1.1–0.9 Ma, revealing a stable technological system that focused on flake production by relying on Oldowan-like knapping strategies while rendering infrequent the manufacture of Large Cutting Tools. We present a continental analysis of Acheulean technologies during the Middle Pleistocene transition aimed at exploring the influence of climatic, ecological, and environmental instability on adaptability. Our results underscore the numerous similarities between the technological strategies of Engaji Nanyori and those of the penecontemporary sites, illustrating the uniform character of African Acheulean assemblages regardless of their temporal, geographical or environmental settings.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.618
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0060.057
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.311
Teacher spread0.276 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

Explore more

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