An Academic Call-to-Arms: Erich Fromm's Biophilia and a Practical Solution to the Problem of the Great Transition for the Island of Kalymnos.
Published In: International Journal of Interdisciplinary Educational Studies, 2023, v. 18, n. 2. P. 25 1 of 3
Database: Education Source Ultimate 2 of 3
Authored By: Dovellos, Nicholas 3 of 3
Abstract
Broadly speaking, this article is written for the express intent of beginning a solutions-oriented discussion among academics, inviting all to participate in presenting practical/hands--on suggestions with respect to implementing changes to help combat the impacts of climate change. More specifically, the article uses Erich Fromm--s concept of biophilia--existential health that promotes human flourishing as opposed to decay--as a template to assist in navigating local problems. It is suggested in the article that any practical solution brought forth must include (and involve) a means of shifting culture and mindset along with it. To fail in adequately involving (and evolving) the mindset of a given population to suit the times is to give way to either an exercise in futility, on the one hand, or, to invite change through force and violence on the other. Therefore, the suggestions for actionable adaptation given in the article are written for the local island of Kalymnos, Greece. The overarching hope is that practical solutions, pertaining to other local communities, will become a more mainstream mode of intellectual exchange while simultaneously aiding the cause for planetary survival and the flourishing of life. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Interdisciplinary Educational Studies. 2023/12, Vol. 18, Issue 2, p25
- Document Type:Article
- Subject Area:History
- Publication Date:2023
- ISSN:2327011X
- DOI:10.18848/2327-011X/CGP/v18i02/25-38
- Accession Number:172258079
- Copyright Statement:Copyright of International Journal of Interdisciplinary Educational Studies is the property of Common Ground Research Networks 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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