Evidence map›Paper›PMID 35769755›Full record

ArticleFrontiers in psychology2022

Iconicity as Multimodal, Polysemiotic, and Plurifunctional.

Gabrielle Hodge, Lindsay Ferrara

Abstract read
In one paragraph

Article in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Do Great Apes Use Iconic Gestures?Wiley interdisciplinary reviews. Cognitive science
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gabrielle HodgeDeafness Cognition and Language Research Centre, University College London, London, United Kingdom.
Lindsay FerraraDepartment of Language and Literature, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigations of iconicity in language, whereby interactants coordinate meaningful bodily actions to create resemblances, are prevalent across the human communication sciences. However, when it comes to analysing and comparing iconicity across different interactions (e.g., deaf, deafblind, hearing) and modes of communication (e.g., manual signs, speech, writing), it is not always clear we are looking at the same thing. For example, tokens of spoken ideophones and manual depicting actions may both be analysed as iconic forms. Yet spoken ideophones may signal depictive and descriptive qualities via speech, while manual actions may signal depictive, descriptive, and indexical qualities via the shape, movement, and placement of the hands in space. Furthermore, each may co-occur with other semiotics articulated with the face, hands, and body within composite utterances. The paradigm of iconicity as a single property is too broad and coarse for comparative semiotics, as important details necessary for understanding the range of human communicative potentialities may be masked. Here, we draw on semiotic approaches to language and communication, including the model of language as signalled via describing, indicating and/or depicting and the notion of non-referential indexicality, to illustrate the multidimensionality of iconicity in co-present interactions. This builds on our earlier proposal for analysing how different methods of semiotic signalling are combined in multimodal language use. We discuss some implications for the language and communication sciences and explain how this approach may inform a theory of biosemiotics.

Indexed as

gestureiconicityindexicalitysemioticssign languagetypology

Identifiers

PMID35769755
PMCPMC9234520

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.