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A curated global dataset of social contact between diverse language communities

Articolo
Data di Pubblicazione:
2025
Abstract:
The GramAdapt Social Contact Dataset is a curated dataset of 34 language pairs with
qualitative and quantifiable data on social interaction and aspects of societal multilingualism.
The language pairs were sampled globally to represent the world’s linguistic diversity.
The dataset can be used to interrogate the social dimensions of language contact
independently or in conjunction with appropriate linguistic data. The data were collected
by distributing a questionnaire to experts who have experience with either one or both
of the language communities of a pair. The data represent subjective expert assessments
based on choices from predetermined answers which can be quantified. Authors 1, 2 and 3
manually checked the response to identify possible misjudgments or misunderstandings.
This results in a dataset containing 13,493 data points. This dataset is a first of its kind in
the field of linguistics, built upon wide findings from sociolinguistics, historical linguistics,
psycholinguistics, and linguistic anthropology.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Language contact, Societal multilingualism, Cross-linguistic comparison, Social interaction, Linguistic diversity
Elenco autori:
Kashima, Eri; Di Garbo, Francesca; Raatikainen, Oona; Forkel, Robert; Avelino, Rosnátaly; Beck, Sacha; Berge, Anna; Blanco Pena, Ana; Bowden, Ross; Brid, Nicolás; Brincat, Joseph M.; Belén Carpio, María; Cobbinah, Alexander; Cúneo, Paola; Wotango Doyiso, Deginet; Fehn, Anne-Maria; Gholami, Saloumeh; Ghosh, Arun; Gibson, Hannah; Hall, Elizabeth; Hannß, Katja; Haynie, Hannah; Jacka, Jerry; Jenny, Matias; Kowalik, Richard; Kulkarni-Joshi, Sonal; Mous, Maarten; Mendoza, Marcela; Messineo, Cristina; Moro, Francesca Romana; Nater, Hank; Ocasio, Michelle; Olsson, Bruno; María Ospina Bozzi, Ana; Paredes, Agustina; Phiri, Admire; Quint, Nicolas; Sandman, Erika; Schokkin, Dineke; Singer, Ruth; Smith-Dennis, Ellen; Souag, Lameen; Sulistyono, Yunus; Treis, Yvonne; Urban, Matthias; Vaughan, Jill; Ziegelmeyer, Georg; Zikmundová, Veronika; Napoleão De Souza, Ricardo; Sinnemäki, Kaius
Autori di Ateneo:
MORO FRANCESCA ROMANA
Link alla scheda completa:
https://unora.unior.it/handle/11574/250621
Link al Full Text:
https://unora.unior.it//retrieve/handle/11574/250621/253119/Kashima_et_al-2025-Scientific_Data.pdf
Pubblicato in:
SCIENTIFIC DATA
Journal
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