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Record W4381335670 · doi:10.2138/gselements.19.2.104

Laetoli: The Oldest Known Hominin Footprints in Volcanic Ash

2023· article· en· W4381335670 on OpenAlexaff
Anatoly N. Zaitsev, Anton R. Chakhmouradian, Charles M. Musiba

Bibliographic record

VenueElements · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHomo erectusGeologyBipedalismPaleontologyHominidaeAustralopithecusPaleoanthropologyVolcanoArchaeologyGeographyBiologyPleistoceneBiological evolution

Abstract

fetched live from OpenAlex

Hominin footprints are rare in eastern Africa and known from the Laetoli (Tanzania), Ileret (Kenya), and Melka Kunture (Ethiopia) areas. The prints were made by Australopithecus afarensis, Homo erectus, and Homo heidelbergensis. Their study is an important source of information regarding hominin body size, anatomy, positional behavior, and locomotion biomechanics. The most-known and best-studied examples are the 3.66-Ma Australopithecus afarensis footprint trackways at Laetoli, which represent the oldest known record of hominin bipedalism in Africa. The footprints occur in a volcanic tuff sequence, which was originally deposited as melilite nephelinite ash. Recent excavations show that this valuable paleoanthropological site is slowly disappearing as a result of surface diagenetic processes. Preservation of the footprints is essential and urgently needed.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.036
GPT teacher head0.329
Teacher spread0.293 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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