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Record W4390805342 · doi:10.51315/9783935751384.006

A comparative multimodal perspective on the evolutionary origins of tool use and handedness

2024· book-chapter· en· W4390805342 on OpenAlexaff
Ammie K. Kalan

Bibliographic record

VenueKerns Verlag eBooks · 2024
Typebook-chapter
Languageen
FieldNeuroscience
TopicHemispheric Asymmetry in Neuroscience
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPerspective (graphical)LateralityPsychologyCognitive scienceHuman evolutionStone toolCognitive psychologyHomo sapiensKnappingDevelopmental psychologyEvolutionary biologyBiologyHistorySociologyAnthropologyComputer science

Abstract

fetched live from OpenAlex

Laterality and the evolution of handedness have been of significant scholarly investigation across a wide variety of disciplines, including animal behaviour, neurobiology, developmental psychology, archaeology, and language evolution. Despite the longstanding array of attention, there remains no clear consensus on how and why laterality, and by extension handedness, evolved. Here I review comparative research on handedness in nonhuman primates to draw attention to the leading theories in the evolution of laterality as they relate to tool use and language origins. In doing so, I aim to provide an overview of our current understanding of the factors influencing handedness and the potential insight further study of nonhuman primates, particularly wild great apes, could contribute to ongoing discussions. Moreover, drawing on recent studies in both human knapping and chimpanzee stone tool use behaviour, I advocate for a multimodal approach to investigations of handedness, one where sound is integrated into existing paradigms examining laterality in tool use behaviour. Such a perspective has the potential to reveal novel insights into the auditory information that may have aided our hominin ancestors at the advent of their lithic technical revolution.

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.802
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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.074
GPT teacher head0.300
Teacher spread0.226 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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