Tracing tacit knowledge of polity research: a methodological account of system and environment
Krzysztof Kasianiuk ()
Additional contact information
Krzysztof Kasianiuk: Collegium Civitas
Quality & Quantity: International Journal of Methodology, 2023, vol. 57, issue 1, No 2, 19-37
Abstract:
Abstract Researching polity dynamics starts with making assumptions about nature and objects of inquiry. But these assumptions are frequently tacitly acknowledged in a variety of polity studies. The article discusses basic assumptions of polity research by focusing on the relationship between polity and its context. I argue that these assumptions do not stem from a particular theory, strand of theories, or paradigms, but from a technical need to identify an object of study and are inherent in making distinctions. To show this, I use a systems analysis scheme. I base the discussion on a structural–functional methodological approach to political phenomena: the black box and white box system identification models and system-environment relationship. As a result, I propose a Polity-Context Classification Framework. The proposed framework might help overcome some discrepancies among polity studies and the search for more complimentary, comprehensive, and integrated views on polity dynamics.
Keywords: Polity; System; Environment; System identification model (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11135-022-01450-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:qualqt:v:57:y:2023:i:1:d:10.1007_s11135-022-01450-5
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11135
DOI: 10.1007/s11135-022-01450-5
Access Statistics for this article
Quality & Quantity: International Journal of Methodology is currently edited by Vittorio Capecchi
More articles in Quality & Quantity: International Journal of Methodology from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().