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Record W4233270428 · doi:10.1075/bct.112.14rus

Pantomime and imitation in great apes

2020· book-chapter· en· W4233270428 on OpenAlex

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

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.054
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