title: Estimation of regiolect speech and its speakers depending on social parameters
metadata.name: dc.contributor.author
metadata.value: Erofeeva, Elena V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Khudyakova, Ekaterina S.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Glazanova, Evgeniya V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2023-10-10T11:30:32Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2023-10-10T11:30:32Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2023-06
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Erofeeva E. V., Khudyakova E. S., Glazanova E. V. Estimation of regiolect speech and its speakers depending on social parameters. Vestnik of Saint Petersburg University. Language and Literature. 2023, 20 (2): 283–311. https://doi.org/10.21638/spbu09.2023.206 (In Russian)
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu09.2023.206
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/44184
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The paper considers estimation of regiolect speech in accordance with metalinguistic characteristics,
  as well as estimation of the speakers by their speech depending on the place of residence
  of the speakers and the estimating experts, and on other social parameters. The study
  includes fragments of interviews with residents of Solikamsk and Kungur (two towns within
  the same region); the sample of the speakers is balanced by the factors “city of residence”,
  “gender”, “age”, and “education”. The respondents — residents of Solikamsk, Kungur, Perm and
  St Petersburg — estimated the speech according to six metalinguistic scales, and the speakers
  according to six social parameters. The results of the experiment showed that the boundaries
  of in- and outgroups are drawn differently depending on the scales used (a town vs a city or
  the same region vs a different region). Identification of social characteristics of the speaker
  by their speech demonstrates the following patterns: gender is identified accurately and predetermines
  the use of strong and uniform stereotypes; age is identified by the speech characteristics; education level is not significant according to our material. The connection between
  stereotypical representations of speech and the speaker under normal conditions is revealed.
  In regions or towns with a stable regional norm, speech social stereotypes based on this norm
  are developed. If the speech of a region or a town is a mixture of different language systems
  and the local norm is unstable, the formation of speech social stereotypes is complicated.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The research is supported by Russian Foundation for Basic Research, grant no. 19-412-590001 “The
  variability of the region: Territorial, social and cognitive aspects”.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Language and Literature;Volume 20; Issue 2
metadata.lang: -
metadata.name: dc.subject
metadata.value: regiolect
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: variation
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: social groups
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: metalinguistic estimations of speech
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: language attitude
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Estimation of regiolect speech and its speakers depending on social parameters
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 06.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/44184/1/06.pdf
resources.format: Adobe PDF
resources.size: 980,11 kB