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Record W4385321191 · doi:10.7203/metode.14.25418

The fossil record of primate intelligence: From the earliest primates to human origins

2023· article· en· W4385321191 on OpenAlex
David R. Begun

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMètode Revista de difusió de la investigació · 2023
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEndocastCytoarchitectureInterconnectivityFossil RecordMorphology (biology)PrimateProcess (computing)Evolutionary biologyBiologyPaleontologyNeuroscienceComputer scienceArtificial intelligence

Abstract

fetched live from OpenAlex

Animals collect and process the information they need to survive and reproduce. The means by which they process information is through the capacity of intelligence, which is in turn a function of the brain, its morphology, size, organization, and cytoarchitecture. While the internal organization and cellular interconnectivity of the brains of fossilized animals are invisible to paleontologists, the size and surface morphology of the brain are sometimes preserved, usually only in part, in the form of endocasts (casts, either natural or artificial, of the inside of the brain case). This broad survey of the evolution of intelligence in primates as interpreted from the fossil record of endocasts is primarily focused on the lineages that inform us more directly about the evolutionary events leading to the origin of human intelligence.

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.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.091
GPT teacher head0.359
Teacher spread0.268 · 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