ReviewPsychonomic bulletin & review2017
What the hands can tell us about language emergence.
Review in Psychonomic bulletin & review, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Beyond Broca: neural architecture and evolution of a dual motor speech coordination system.Brain : a journal of neurology · 2023Article
- Visual bodily signals as core devices for coordinating minds in interaction.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Review
- Systematic mappings between semantic categories and types of iconic representations in the manual modality: A normed database of silent gesture.Behavior research methods · 2020Article
- Multimodality and the origin of a novel communication system in face-to-face interaction.Royal Society open science · 2020Article
- Repeated imitation makes human vocalizations more word-like.Proceedings. Biological sciences · 2018Article
- People Can Create Iconic Vocalizations to Communicate Various Meanings to Naïve Listeners.Scientific reports · 2018Article
- Linear grammar as a possible stepping-stone in the evolution of language.Psychonomic bulletin & review · 2017Review
- Empirical approaches to the study of language evolution.Psychonomic bulletin & review · 2017Review
- Do Great Apes Use Iconic Gestures?Wiley interdisciplinary reviews. Cognitive scienceReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Why, in all cultures in which hearing is possible, has language become the province of speech and the oral modality? I address this question by widening the lens with which we look at language to include the manual modality. I suggest that human communication is most effective when it makes use of two types of formats--a discrete and segmented code, produced simultaneously along with an analog and mimetic code. The segmented code is supported by both the oral and the manual modalities. However, the mimetic code is more easily handled by the manual modality. We might then expect mimetic encoding to be done preferentially in the manual modality (gesture), leaving segmented encoding to the oral modality (speech). This argument rests on two assumptions: (1) The manual modality is as good at segmented encoding as the oral modality; sign languages, established and idiosyncratic, provide evidence for this assumption. (2) Mimetic encoding is important to human communication and best handled by the manual modality; co-speech gesture provides evidence for this assumption. By including the manual modality in two contexts--when it takes on the primary function of communication (sign language), and when it takes on a complementary communicative function (gesture)--in our analysis of language, we gain new perspectives on the origins and continuing development of language.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.