The aesthetic character of pain on Tevfik Fikret's poetry
2019
0 views
0 downloads
Advisor: Prof. Dr. Ali Şükrü Çoruk
Abstract (EN)
This thesis aims to examine the poems of Tevfik Fikret in the context of pain. The first part focuses on the concept of "pain" and "how the consciousness perceive the pains arising from human body" has been studied.. The study also analyses the effects of language and culture in the process of perception. On the other hand, the research has tried to dwell on the attitutes of Islam, Judaism and Christianity towards the feeling of pain. In the second part of the work, the feeling of pain in human spirit has been examined within the concepts of melancholy, romanticism and decadence, focusing on the history of the approaches that judge "the feeling of pain" as negative. In the last part of the study, settled ideas about Tevfik Fikret have been examined in the context of pain. A perspective of evaluation that Tevfik Fikret should be examined by regarding the similitarities between his life, character and the era that he lived at has been suggested . In this way, Tevfik Fikret's concepst about art and poetry have been studied under the lights of notions of mourning and dead loss. Keywords: Pain, spiritual pain, aesthetic character of pain, dead loss, mourning, Tevfik Fikret
Author
Dr. Yusuf Fatih Işık
Institution
İstanbul University
Division of Modern Turkish Literature
How to Cite
Yusuf Fatih Işık (Master Thesis). The aesthetic character of pain on Tevfik Fikret's poetry, 2019, İstanbul University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from İstanbul University
- In the covid 19 pandemic of female employees at a university hospital attitudes and affecting factors in nutrition of 9 months-6 years old children(2022)
- The perception of the right-wing movements in Turkey as to the 27 May Coup: 1960-1980(2020)
- Economic and social life in the Ottoman Empire according to the 1890 year's news of La Turquie Newspaper(2022)
- Land regime in the Umayyads period(2022)
- Merkel hücreli karsinomda tanısal ve prognostik belirteçler(2022)
- Use of machine learning methods in classification of respiratory system diseases(2021)