Theoretical Framework of Iranian Dialectics in the Medieval Middle East.
Published In: Journal of the Australian Early Medieval Association, 2024, v. 20, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Houshisadat, S. Mohammad 3 of 3
Abstract
The following article discusses Iranian (or Persian) foreign relations in the medieval Middle East and North Africa from the rise of Islam up to the fall of the Timurid empire (661-1501), employing variables and indicators from the theoretical framework of Iranian dialectics. It aims to establish the relationship between the national and ultranational variables throughout this period. Within the national domain, the key variables encompass the belief systems of policymakers, their interest in political survival, the political economy, the geopolitics of Persia, and its geographical realm. The ultranational field comprises the dominant world order and the international division of labour. Accordingly, these major components have been pivotal in shaping Persian relationships with regional and ultra-regional players in the Middle East and North Africa. On this basis, four indicators are considered: the realities within the agentstructure arena; symmetrical and asymmetrical interdependence; bureaucracy and nongovernmental circles; and international systemic status. Unlike Iranian negative dialectics, Iranian positive dialectics emerge as the primary consequence of interactions between the state agent and system structure in the medieval Middle East and North Africa. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of the Australian Early Medieval Association. 2024/01, Vol. 20, Issue 1, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2024
- ISSN:1449-9320
- DOI:10.35253/JAEMA.2024.1.1
- Accession Number:183385870
- Copyright Statement:Copyright of Journal of the Australian Early Medieval Association is the property of Australian Early Medieval Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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