JOURNAL ARTICLE
The Social Construction of the Ocean, Sea Power, and Maritime Transformation.
Published In: Journal of Political & Military Sociology, 2023, v. 50, n. 1. P. 32 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kuang- hao Hou 3 of 3
Abstract
This review article elucidates concepts related to sea power, the social construction of the ocean, and maritime transformation. It begins with Mahan's and Mackinder's classic understanding of sea power, arguably the source of all traditional perspectives on the subject. Although this article accepts Till's definition of sea power, it maintains that conventional wisdom does not offer a clear distinction between sea power as "a means of social power" and sea power as "states with powerful navies." Furthermore, this article discusses Lambert's conception of seapower identity, contending that his perspectives on seapower-state establishment are not based on relationships between the state, military, and the oceans. Lambert's analysis of seapower states focuses on the activities that people engage in on land for seapower identity. His account suggests that maritime transformation could only occur in cases in which sea states transform into seapower states. However, this article claims that Steinberg's concepts and theory of the social construction of the ocean provide a useful approach to examining the maritime transformation required for a transition from tellurocracy to thalassocracy. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Political & Military Sociology. 2023/03, Vol. 50, Issue 1, p32
- Document Type:Article
- Subject Area:Military History and Science
- Publication Date:2023
- ISSN:0047-2697
- DOI:10.5744/jpms.2023.1002
- Accession Number:171795915
- Copyright Statement:Copyright of Journal of Political & Military Sociology is the property of University of Florida, Board of Trustees 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.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.