World of Serhad gazis (living in European borders in the 16th-17th centuries)
Is this your thesis?
This record came from a bulk archive import. If it’s yours, link it to your profile.
Abstract (EN)
Throughout history, borders have been seen as lines dividing states. But in addition to the linear structure of these boundaries, soldiers, peasants, merchants, etc. dominated by two different states which continue to live in freedom. The sharp lines of modern boundaries make the impression that the limits of the classical period are so sharp. However, the situation during 16-17th century examining through the Ottoman-Habsburg serhads, it is revealed that this thought is not true. Although the borders were sharpened as a result of the wars, the serhad regions were open to interaction, living in economic relations with each other, living in communities that influenced each other in terms of religion, language and culture. For this reason, serhad regions cannot be defined only as a military area. This study has been trying to discussed in a framework and perspective which will reveal the social history, religious, cultural, economic and daily life of Ottoman-Habsburg borders in 16-17 th century. In this study, chronicles and travel books of 16th and 17th century were used as the main source.
Author
Fatma Altıok
Institution
How to Cite
Fatma Altıok (Master Thesis). World of Serhad gazis (living in European borders in the 16th-17th centuries), 2019, Sakarya University.
Keywords
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Sakarya University
- Turkey according to the records of the House of Commons (1918-1922)(2011)
- Ömer Öngüt, his views and community through publications(2025)
- Mawlana Yaqub-i Charkhi And His tafsir(2024)
- Research of teachers' attitudes and self-efficacy perceptions towards distance education application(2024)
- Tiles in architect Vedat Tek's Istanbul buildings(2024)
- Financial performance evaluation and the relationship between stock returns: Hesitant Fuzzy AHP based approach(2020)
