Problems of semantic reconstruction of a theoretical text in sociology

Abstract: 
The article analyzes the reasons for the ambiguity of the reader's understanding of the text of sociological theory, including: violation of the identity of the wordings of theoretical concepts, the absence of an explicit indication of the context for theoretical statements, implicit presentation of semantic connections between individual statements. The analysis is based on the tradition of semantic reconstruction of non-numerical evidence of informants, carried out by a sociologist in a qualitative study, and is carried out on the example of Arnason's article, which considers the problem of the controversy of theoretical concepts in the study of civilizations. The nature of the ambiguity of the semantic interaction between the author and the reader of sociological theory is explained based on the concept of dual knowledge by Polanyi. We argue the necessity of the structural presentation by the author of the semantic connections of the theory at the stage of its creation. Today, such connections are put implicitly in text by its author under creation and remain tacit to the reader when reading it. The article proposes analytical coding as a tool for the structural expression of sociological theory under its creation. This approach combines in a single instrumental procedure the coding techniques of qualitative research and the functionality of ontological methods for knowledge management. Thus, the social scientist gains conceptualization functionalities that are not available when applying the traditional textual presentation of the theory. Among them there are: management of ambiguous sociological definitions; tracking the contextual dependencies of verbal statements; checking the coherence of natural language statements evolved during theorizing; organization of teamwork of researchers from different subject areas.

For citation: Kanygin G.V., Poltinnikova M.S., Koretskaya V.S. Problems of semantic reconstruction of a theoretical text in sociology. St. Petersburg Sociology Today. 2021. N. 16. P. 44-63. DOI:10.25990/socinstras.pss-16.9ccw-h915

References: 
  • Kanygin G.V., Poltinnikova S.M., Koretskaya V.S. Experience in constructing social knowledge based on computer ontological methods. Sotsiologicheskiy zhurnal. 2017. Vol. 23. No 3. P. 25–41. (In Russ.).
  • Kanygin G.V., Poltinnikova S.M., Koretskaya V.S. Conceptual generalization of sociological data. Teleskop: zhurnal sotsiologicheskikh i marketingovykh issledovaniy. 2017. No 3. P. 41-47. (In Russ.).
  • Yu.M. Reznik. Social theory and theoretical sociology on the path of integration. Sotsiologicheskiye issledovaniya. 2007. No 9, P. 17-24.  (In Russ.).
  • Analytical Coding Thesaurus http://coknowledge.ru/wp-content/uploads/2021/05/tezaurusArticleMay-1.txt
  • Arnason J. Civilizational Patterns and Civilizing Processes. International Sociology. 2001. Vol. 16. No. 3. P. 387-405.
  • Barabucci G., Tomasi F., Vitali F. Supporting Complexity and Conjectures in Cultural Heritage Descriptions. Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age. Leiden, the Netherlands: 2020. P. 104-115.
  • Bazeley P. Regulating qualitative coding using QDAS? Sociological Methodology. 2012. Vol. 1. No. 42. P. 77-78.
  • Charmaz, K. Grounded Theory: Objectivist and Constructive Methods. In Norman K. Denzin&Yvonna S. Lincoln (Eds.), Handbook of Qualitative Research, 2nd edition. Thousand Oaks, Ca.: Sage. 2000. P. 509-535.
  • Chergui W., Zidat S., Marir F. An approach to the acquisition of tacit knowledge based on an ontological model. Journal of King Saud University – Computer and Information Sciences. 2020. Vol. 7. No 32. P. 818-828. DOI: https://doi.org/10.1016/j.jksuci.2018.09.012
  • Coffey A., Atkinson P. Making sense of qualitative data: Complementary research strategies. London: Sage. 1996.
  • Diagogue – Ontoeditor enriching qualitative data analysis instruments. Accessed 15.05.2021. URL: http://coknowledge.ru/wp-content/uploads/2021/05/diagogue_manual.pdf
  • Dragicevic N., Ullrich A., Tsui E., Gronau N. A conceptual model of knowledge dynamics in the industry 4.0 smart grid scenario. Knowledge Management Research & Practice. 2020. Vol. 18, Iss. 2, P. 199-213.
  • Evers J. C. Current issues in qualitative data analysis software (QDAS): A user and developer perspective. The Qualitative Report. 2018. Vol. 13. No 23. P. 61-74. Accessed 15.05.2021. Retrieved from http://nsuworks.nova.edu/tqr/vol23/iss13/5
  • Graphviz – graph visualization software. Accessed 15.05.2021. Retrieved from https://graphviz.gitlab.io/download/
  • Haradhan Kumar Mohajan. Sharing of Tacit Knowledge in Organizations: A Review. American Journal of Computer Science and Engineering. Vol. 3, No. 2, 2016, P. 6-19.
  • John St. W., Johnson P. The pros and cons of data analysis software for qualitative research. Journal of Nursing Scholarship. 2000. Vol. 4. No 32 P. 393–397.
  • Junker A. Optimism and Caution Regarding New Tools for Analyzing Qualitative Data. Sociological Methodology. 2012. Vol. 1, No 42 P. 85-87.
  • Kakabadse N.K., Kouzmin A., Kakabadse A. (2001) From tacit knowledge to knowledge management: leveraging invisible assets. Knowledge and Process Management. 2001. No 8. P. 137–154, DOI: https://doi.org/10.1002/kpm.120. Accessed 12.11.2020.
  • Kanygin, G., Koretckaia, V. Analytical Coding: Performing Qualitative Data Analysis Based on Programming Principles. The Qualitative Report. 2021. Vol. 2. No 26. P. 316-333.
  • Kelle U. Theory Building in Qualitative Research and Computer Programs for the Management of Textual Data. Sociological Research Online. 1997. Vol.2, No 2. Accessed 20.10.2020 from http://socresonline.org.uk/2/2/1.html
  • La Pelle N. (2004) Simplifying Qualitative Data Analysis Using General Purpose Software Tools. Field Methods. 2004. Vol. 1, No 16. P. 85—108.
  • Lewins A., Silver C. Using Qualitative Software: A Step-by-Step Guide. London: Sage.2007.
  • Maasdorp C. Concept and Context: Tacit Knowledge in Knowledge Management theory. In Schreinemakers, J., van Engers, T., (Eds.). 15 Years of Knowledge Management, Volume 3 of Advances in Knowledge Management, Ergon. Würzburg 2007. P. 59-68.
  • Nonaka I., Toyama R., Byosiere P. A theory of organizational knowledge creation: understanding the dynamic process of creating knowledge. In: Handbook of organizational learning and knowledge. Eds. Dierkes M, Antal A, Child J and Nonaka I, Oxford University Press, Oxford. 2001. P. 487-491.
  • Nonaka I. A Dynamic Theory of Organizational Knowledge Creation. Organization Science. 1994. Vol. 1. No 5 P. 14–37.
  • Nonaka I., Takeuchi H. The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation. Oxford University Press. New York, NY. 1995.
  • Nonaka I., Peltokorpi V. Tacit Knowledge: a Source of Innovation. In: 15 years of Knowledge Management, Advances in Knowledge Management (Vol. III),  Eds. Schreinemakers J and van Engers T, Ergon Verlag, Würzburg. P. 68-82. 2007.
  • Noy N.F., McGuinness D.L. Ontology Development 101: A Guide to Creating Your First Ontology. 2000. http://protege.stanford.edu/publications/ontology_development/ontology101.html
  • Online QDA. Retrieved from http://onlineqda.hud.ac.uk/.
  • Pierre E. St., Jackson A. Y. Qualitative Data Analysis After Coding. Qualitative Inquiry. 2014. Vol. 6. No 20. P. 715–719.
  • Polanyi M. Personal knowledge. Towards apostcritical philosophy. London: University of Chicago Press. 1958.
  • Polanyi M. The tacit dimension. New York: Doubleday and Company. 1966.
  • Richards T. J., Richards L. Using computers in qualitative research. Handbook of qualitative research. in N. D. Denzin and Y. S. Lincoln (editors)  London: Sage. 1994.
  • Swedberg R., On the Near Disappearance of Concepts in Mainstream Sociology. In: Concepts in Action: Conceptual Constructionism. Eds.: H. Leiulfsrud P. Sohlberg. Leiden. Boston : Brill. 2018.
  • Thompson R. Reporting the Results of Computer-assisted Analysis of Qualitative Research Data [42 paragraphs]. Forum: Qualitative Social Research [On-line Journal], May, 3(2). 2002. Retrieved 20.10.2020 from http://www.qualitative-research.net/index.php/fqs/article/view/864/1878
  • Tsoukas H. The Firm as a Distributed Knowledge System: A Constructionist Approach, Strategic Management Journal. 1996. Vol. S2. No 17. P. 11–25.
  • Urry J. The Complexities of the Global Theory, Culture & Society. 2005. Vol. 5 No 22 P. 235-254.
  • Virtanen I. The Problem of Tacit Knowledge – Is It Possible to Externalize Tacit Knowledge? In: Information Modelling and Knowledge Bases XX, Eds: Kiyoki Y, Tokuda T, Jaakkola H, Chen X, Yoshida N, IOS Press, Amsterdam. 2009. P 321-330.
  • Wagner C. Breaking the Knowledge Acquisition Bottleneck Through Conversational Knowledge Management. Information Resources Management Journal. 2006. Vol. 1 No 19. P. 70-83.