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Polish Political Science Yearbook
Article . 2023 . Peer-reviewed
Data sources: Crossref
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Polish Political Science Yearbook
Article . 2023
Data sources: DOAJ
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Meta-Systemic Model of Transformation: A General Complexity-Based Approach in Political Science and International Relations

Authors: Piotr Baranowski;

Meta-Systemic Model of Transformation: A General Complexity-Based Approach in Political Science and International Relations

Abstract

System-based research remains an important yet usually outdated and internally contradictory approach in political science and international relations. Based on concepts borrowed from physiology, cybernetics, and general system theory, the system-based approach popularised in the 1960s was cast away as outdated and ill-focused. Despite those systems, the theory was developed in natural sciences, eventually creating a paradigm more applicable to domestic and international politics. The weakest element of past systems (like the one proposed by D. Easton) was that they did not allow for a sudden and catastrophic transformation and lacked emergence. This paper aims to present a model that would allow for the system’s ordinary and catastrophic transformation. The complex adaptive system features were defined using relevant literature on a paradigm of complexity. Connecting it with the propositions of D. Easton, R. Axelrod, and M. Cohen, as well as R. Jervis, such a model was constructed. The theoretical introduction is supplanted with a general case study of the early phases of the Arab Spring in Tunisia. The model mirrors the complex systems’ dynamics, considering the agent-structure problem.

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Keywords

Political science (General), complex adaptive system, system analysis, arab spring, system, International relations, complexity, JA1-92, JZ2-6530

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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