Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Corpus-based conceptualization in sociology : possibilities and limits. / Rubtcova, Mariia; Vasilieva, Elena; Pavenkov, Vladimir; Pavenkov, Oleg.
в: Espacio abierto, Том 26, № 2, 01.12.2017, стр. 187-199.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Corpus-based conceptualization in sociology
T2 - possibilities and limits
AU - Rubtcova, Mariia
AU - Vasilieva, Elena
AU - Pavenkov, Vladimir
AU - Pavenkov, Oleg
PY - 2017/12/1
Y1 - 2017/12/1
N2 - The problem of the quantitative interpretation of qualitative data is one of the most important in sociological research. Textual analysis has placed emphasis on deep and careful study of texts how personal strategies embodied in the concepts. However, quantitative interpretation has always been problematic. Our paper deals with the corpus-based conceptualization method, which can be considered as a method of collecting and organizing data material from linguistic corpora. The corpus-based conceptualization allows us to establish a closer link with the meaning and identify the whole spectrum of meanings. It shows that some sociologists lose essential meanings in the research process because of lack of in-deep immersion in the daily life and speech of the people. We chose the concepts of "altruism" and "mercy" as examples to demonstrate the corpus-based conceptualization and its place in sociological research methodology. Data comes from the Russian National Corpus. The Russian National Corpus consists of 1802 relevant words, with 775 for altruism and 1047 for mercy. Data processing carried out by SPSS 19.0. As the result, we have discussed what difficulties the researcher can meet using this method and have offered Systemic Functional Grammar (SFL) and Role and Reference grammar as a way to accurately determining the context. Our suggestions can be used in the preparation of questionnaires, guides, in an analysis of interview transcripts.
AB - The problem of the quantitative interpretation of qualitative data is one of the most important in sociological research. Textual analysis has placed emphasis on deep and careful study of texts how personal strategies embodied in the concepts. However, quantitative interpretation has always been problematic. Our paper deals with the corpus-based conceptualization method, which can be considered as a method of collecting and organizing data material from linguistic corpora. The corpus-based conceptualization allows us to establish a closer link with the meaning and identify the whole spectrum of meanings. It shows that some sociologists lose essential meanings in the research process because of lack of in-deep immersion in the daily life and speech of the people. We chose the concepts of "altruism" and "mercy" as examples to demonstrate the corpus-based conceptualization and its place in sociological research methodology. Data comes from the Russian National Corpus. The Russian National Corpus consists of 1802 relevant words, with 775 for altruism and 1047 for mercy. Data processing carried out by SPSS 19.0. As the result, we have discussed what difficulties the researcher can meet using this method and have offered Systemic Functional Grammar (SFL) and Role and Reference grammar as a way to accurately determining the context. Our suggestions can be used in the preparation of questionnaires, guides, in an analysis of interview transcripts.
KW - Corpus-based conceptualization
KW - sociological operationalization
KW - corpus linguistics
KW - BEHAVIOR
KW - RUSSIA
M3 - статья
VL - 26
SP - 187
EP - 199
JO - Espacio abierto
JF - Espacio abierto
SN - 1315-0006
IS - 2
ER -
ID: 35527878