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  Societies of strangers do not speak less complex languages

Shcherbakova, O., Michaelis, S. M., Haynie, H. J., Passmore, S., Gast, V., Gray, R. D., et al. (2023). Societies of strangers do not speak less complex languages. Science Advances, 9(33): eadf7704. doi:10.1126/sciadv.adf7704.

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Shcherbakova_Societies_SciAdvan_2023.pdf (Publisher version), 2MB
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Shcherbakova_Societies_SciAdvan_2023.pdf
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 Creators:
Shcherbakova, Olena1, Author                 
Michaelis, Susanne Maria1, Author                 
Haynie, Hannah J., Author
Passmore, Sam, Author
Gast, Volker, Author
Gray, Russell D.2, Author                 
Greenhill, Simon J.2, Author                 
Blasi, Damián E.1, Author                 
Skirgård, Hedvig2, Author                 
Affiliations:
1Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3237541              
2COOL, Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_3384318              

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Free keywords: Adaptation, Physiological; Emotions; Language; Linguistics; Phylogeny
 Abstract: Many recent proposals claim that languages adapt to their environments. The linguistic niche hypothesis claims that languages with numerous native speakers and substantial proportions of nonnative speakers (societies of strangers) tend to lose grammatical distinctions. In contrast, languages in small, isolated communities should maintain or expand their grammatical markers. Here, we test these claims using a global dataset of grammatical structures, Grambank. We model the impact of the number of native speakers, the proportion of nonnative speakers, the number of linguistic neighbors, and the status of a language on grammatical complexity while controlling for spatial and phylogenetic autocorrelation. We deconstruct “grammatical complexity” into two separate dimensions: how much morphology a language has (“fusion”) and the amount of information obligatorily encoded in the grammar (“informativity”). We find several instances of weak positive associations but no inverse correlations between grammatical complexity and sociodemographic factors. Our findings cast doubt on the widespread claim that grammatical complexity is shaped by the sociolinguistic environment. Spatiophylogenetic modelling allows testing the claim that grammatical complexity is reduced in societies of strangers.

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Language(s): eng - English
 Dates: 2023-08-18
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1126/sciadv.adf7704
 Degree: -

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Title: Science Advances
Source Genre: Journal
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Publ. Info: Washington : AAAS
Pages: - Volume / Issue: 9 (33) Sequence Number: eadf7704 Start / End Page: - Identifier: ISSN: 2375-2548