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Record W4233270428 · doi:10.1075/bct.112.14rus

Pantomime and imitation in great apes

2020· book-chapter· en· W4233270428 on OpenAlexaff
Anne E. Russon

Bibliographic record

VenueBenjamins current topics · 2020
Typebook-chapter
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsYork University
Fundersnot available
KeywordsImitationAction (physics)Scripting languagePsychologyLanguage evolutionCognitive scienceCognitive psychologyCommunicationComputer scienceNeuroscience

Abstract

fetched live from OpenAlex

Abstract This paper assesses great apes’ abilities for pantomime and action imitation, two communicative abilities proposed as key contributors to language evolution. Modern great apes, the only surviving nonhuman hominids, are important living models of the communicative platform upon which language evolved. This assessment is based on 62 great ape pantomimes identified via data mining plus published reports of great ape action imitation. Most pantomimes were simple, imperative, and scaffolded by partners’ relationship and scripts; some resemble declaratives, some were sequences of several inter-related elements. Imitation research consistently shows great apes perform action imitation at low fidelity, but also that action imitation may not represent a distinct process or function. Discussion focuses on how findings may advance reconstruction of the evolution of language, including what great apes may contribute to understanding ‘primitive’ forms of pantomime and imitation and how to improve their study.

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)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.054
GPT teacher head0.299
Teacher spread0.244 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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