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Record W1972157305 · doi:10.1068/p6079

Caricature and Contrast in the Upper Palaeolithic: Morphometric Evidence from Cave Art

2009· article· en· W1972157305 on OpenAlexaff
James Allan Cheyne, Lisa Meschino, Daniel Smilek

Bibliographic record

VenuePerception · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicPleistocene-Era Hominins and Archaeology
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsContrast (vision)Representation (politics)PerceptionCognitionLiteral and figurative languagePsychologyCognitive psychologyCognitive scienceLinguisticsComputer scienceArtificial intelligencePhilosophyNeuroscience

Abstract

fetched live from OpenAlex

The earliest known explicit and unambiguous employment of representation in external media is in the form of figurative depictions of large mammals during the Upper Palaeolithic. These images, though often created with evident technical skill and intimate knowledge of the subject matter, are frequently characterised by curious and pronounced distortions. We provide evidence, based on quantitative analysis of parietal graphic images of two commonly depicted species, for the hypothesis that certain of these distortions are neither errors nor idiosyncratic variations, but systematic deviations from veridicality in the form of caricatures consistent with cognitive principles of graded typicality and contrast in categorisation. Our analysis provides evidence that the first apparent conventions of representational art by humans were informed by basic cognitive-perceptual principles of categorisation.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0010.004
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.030
GPT teacher head0.308
Teacher spread0.278 · 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

Citations20
Published2009
Admission routes1
Has abstractyes

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