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Outline

In Cultural Anthropology in Kurdish Folklore

2025, Democratic Arabic Center, Berlin/Germany, & College of Applied Interdisciplinary LTD, London/United Kingdom, Vol.3, No. 11

Abstract

Kurdish folklore is viewed as a cornerstone of Kurdish national identity and a source of information about Kurdish history, revitalizing the language, and producing local knowledge. The collection of oral traditions in the Kurdish dialects of Kurmanji, Sorani, and Zazaki is valued as a step toward protecting and developing the Kurdish language, reviving folkloric vocabulary, stories, and traditional knowledge practices such as agricultural teachings. Kurdish oral literature has its own unique characteristics and historical, social, cultural, and national significance. Folklore plays a role in nation-building, as it is a fundamental national asset of collective memory in Kurdish history. Its positive aspects are manifested in a sense of belonging, linked to the formation of national identity by highlighting life stories and politicizing the Kurdish language and culture. It delves into the cultural and social aspects of the Kurdish people, focusing on their narratives, moral values, and national identity. Its music is also a powerful tool for expressing feelings of belonging, nostalgia, and desire. Dengbêj, a Kurdish oral tradition of improvised epic singing, has received the most attention in academic research. Dengbêj is a Kurdish oral tradition of improvised epic singing. It relies on traditional Kurdish poets, storytellers, and musicians who play an important role in Kurdish culture and heritage. They are known for their ability to recite epic poems, compose new songs, and narrate historical events. Dengbêjs have played a crucial role in preserving and transmitting Kurdish oral traditions, including folklore, epics, and historical narratives. Their performances have served as a repository of Kurdish culture and identity, transmitting knowledge and values from generation to generation. Kurdish poets (dengbêjs) have been presented as guardians of history and culture, and their lyrics, life stories, and live performances offer unique insights into local cultural practices and politics. Present-day Dengbêj songs constitute an important source for investigating the way of life experienced by Kurds on the margins of the (nation-)state. Dengbêj are not just singers; they are storytellers, poets, historians, and philosophers who express their personal experiences, collective history, suffering, and celebrations through song, often accompanied by simple instruments such as the tambourine or tambourine. They are the guardians of Kurdish history and culture, preserving tales of heroism, war, migration, love, and folklore. Their songs, rich in symbolism and metaphor, blend music, poetry, and narrative, and are performed at various occasions, adding a spiritual and communal dimension. Despite social changes, dengbêj remains a vital and influential art form in Kurdish culture. Dengbêj is one of the forms of Kurdish cultural heritage that warrants UNESCO inscription, as this art is based on understanding heritage as a sign of a primitive collective identity. This dossier sheds light on the complex dynamics surrounding Kurdish folklore, its historical roots, its role in nation-building processes, and the challenges faced by researchers studying this subject, including a thorough understanding of folklore and its political implications. It also explores the potential of contemporary folkloric methodologies to uncover narratives of power, oppression, and suffering within folklore texts. These oral arts are analyzed in terms of their characteristics, genres, classifications, musical forms, and other linguistic, artistic, and intellectual characteristics.

References (49)

  1. Asatrian, G. (2009). Prolegomena to the study of the Kurds. Iran and the Caucasus, 13(1), 1-58.
  2. De Vaan, Michiel (2008). Etymological Dictionary of Latin and the other Italic Languages (vol. 7 in the series "Leiden Indo-European Etymological Dictionary"). Leiden/Boston: Brill.
  3. De Vaan, M., & Lubotsky, A. (2014). Introduction to Avestan. Leiden, The Netherlands: Brill.
  4. Haig, G., & Matras, Y. (2002). Kurdish linguistics: a brief overview. In: Language typology and universals = Sprachtypologie und Universalienforschung: STUF, Vol. 55, Nr. 1, 3-14. Berlin: De Gruyter Mouton, doi:10.1524/stuf.2002.55.1.3
  5. Haig, Geoffrey & Öpengin, Ergin. 2014. Kurdish: A Critical Research Overview. Kurdish Studies, 2(2), 99-122.
  6. Joseph, Brian (2001). The Indo-European Family -The Linguistic Evidence. In: Istoria tis elinikis glosas apo tis arxes eos tin isteri arxeotita [History of the Greek Language from the beginnings up to later antiquity], ed. by A.-Ph. Christides. Thessaloniki: Centre for the Greek Language. pp, 128-134. https://democraticac.de/?page_id=86577
  7. Jügel, Thomas (2014). On the linguistic history of Kurdish. Kurdish Studies 2(2). pp, 123-142.
  8. Kapović, Mate (2017). Indo-European languages: Introduction. In Mate Kapović (ed.), The Indo-European languages, 2nd edn., 1-9. London: Routledge.
  9. Klein, Jared/ Joseph, Brian / Fritz, Matthias/Mark, Wenthe (2017). Handbook of Comparative and Historical Indo- European Linguistics. Walter de Gruyter GmbH, Berlin/Boston.
  10. Köbler, Gerhard (2007). Altgriechisches Wörterbuch: Altgriechisches Abkunfts-und Wirkungswörterbuch. Erlangen.
  11. Lieber, R. (2017, March 29). Derivational Morphology. Oxford Research Encyclopedia of Linguistics. Retrieved 12 Oct. 2024, from https://oxfordre.com/linguistics/view/10.1093/acrefore/9780199384655.001.0001/acrefore- 9780199384655-e-248.
  12. Mackenzie, D. N. (1986). A Concise Pahlavi Dictionary (School of Oriental & African Studies). London: Oxford University Press; New York; Toronto.
  13. Macdonell, Arthur A. A Sanskrit-English Dictionary. Oxford, Oxford University Press, 1893.
  14. Mallory, J. P. & Adams, D. Q. (2006). The Oxford Introduction to Proto-Indo-European and the Proto-Indo-European World. United States: Oxford University Press Inc., New York.
  15. Mallory, J. P. /Adams, D. Q. (1997). Encyclopedia of Indo-European Culture. United States: Fitzroy Dearborn Publishers.
  16. Nyberg, Henrik (1974). A Manual of Pahlavi. Wiesbaden: Otto Harrassowitz Verlag.
  17. Ohnesorge, Hendrik W. (2021). The Method of Comparative-Historical Analysis: A Tailor-Made Approach to Public Diplomacy Research, "Place Branding and Public Diplomacy, online first; https://doi.org/10.1057/s41254-021- 00227-1.
  18. Paul, L. (2017). The Historical Grammar of Kurdish. In the Languages and Linguistics of Western Asia. De Gruyter.
  19. Pokorny, Julius (2007). Indo-European; Proto-Indo-European Etymological Dictionary. Indo-European Language Revival Association. Moscow: Dnghu Association.
  20. Puhvel, Jaan (1984). Hittite Etymological Dictionary: Trends in Linguistics Documentation 1. Mouton Publishers: Berlin• New York• Amsterdam.
  21. Pyysalo, J. O. (2017). Proto-Indo-European Lexicon: The Generative Etymological Dictionary of Indo-European Languages. In NoDaLiDa 2017: 21st Nordic Conference of Computational Linguistics (pp. 259-263). (NEALT Proceedings Series; Vol. 29). Linköping University Electronic Press.
  22. Raipovna, V. S. (2021). Comparative methods in linguistic. International Journal of Future Generation Communication and Networking, 14(1), 4986-4992.
  23. Ringe, Don (2006). From Proto-Indo-European to Proto-Germanic, A linguistic history of English, vol. 1. Oxford: Oxford University Press.
  24. Skjaervø, P. O. (2009). Old Iranian. In Gernot Windfuhr (ed.), The Iranian Languages, chap. 6,43-165. London: Routledge.
  25. Windfuhr, Gernot (2009). Introduction to The Iranian Languages. In Gernot Windfuhr (ed.), The Iranian Languages, chap. 6,1-4. London: Routledge.
  26. Amazon (2021) Data-Driven Forecasting and AI Integration in Global Operations. Amazon Finance Report.
  27. Bank of America (2020) AI and Automation in Financial Services. Bank of America Internal Report.
  28. Bostrom, N. (2014) Superintelligence: Paths, Dangers, Strategies. Oxford: Oxford University Press.
  29. Brynjolfsson, E. and McAfee, A. (2017) The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. New York: W.W. Norton.
  30. Christensen, C.M. (1997) The Innovator's Dilemma: When New Technologies Cause Great Firms to Fail. Boston: Harvard Business School Press.
  31. Davenport, T.H. and Harris, J. (2017) Competing on Analytics: The New Science of Winning. Boston: Harvard Business Review Press.
  32. Davenport, T.H. and Ronanki, R. (2018) 'Artificial Intelligence for the Real World', Harvard Business Review, 96(1), pp. 108-116.
  33. Davis, F.D. (1989) 'Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology', MIS Quarterly, 13(3), pp. 319-340.
  34. Deloitte (2021) The Future of Controlling: AI-Driven Transformation. Deloitte Insights.
  35. European Commission (2021) Proposal for a Regulation Laying Down Harmonised Rules on Artificial Intelligence (Artificial Intelligence Act). Brussels: European Commission.
  36. Jobin, A., Ienca, M. and Vayena, E. (2019) 'The Global Landscape of AI Ethics Guidelines', Nature Machine Intelligence, 1, pp. 389-399.
  37. Kaplan, A. and Haenlein, M. (2019) 'Siri, Siri, in my hand: Who's the fairest in the land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence', Business Horizons, 62(1), pp. 15-25.
  38. Keller, S. (2021) 'Digital Skills and the Evolving Role of Controllers', Journal of Management Accounting Research, 33(2), pp. 87-103.
  39. Mittelstadt, B., Allo, P., Taddeo, M., Wachter, S. and Floridi, L. (2016) 'The Ethics of Algorithms: Mapping the Debate', Big Data & Society, 3(2), pp. 1-21.
  40. Müller, J. (2022) Digital Controlling: The Future Role of Controllers in an AI World. Munich: Vahlen Verlag.
  41. PwC (2020) AI in Finance: The Next Frontier. PwC Global Report.
  42. Rossi, F. (2022) Responsible Artificial Intelligence: Governance, Regulation, and Ethics. Cambridge: Cambridge University Press.
  43. Schmidt, R. (2020) AI Governance in Financial Services: Balancing Innovation and Regulation. Frankfurt: Deutsche Börse Research Institute.
  44. Schwertner, K. (2017) 'Digital Transformation of Business', Trends in Business Economics, 11(2), pp. 40-45.
  45. Siemens (2021) Digital Finance and AI Adoption: Case Study Report. Siemens AG Whitepaper.
  46. Smith, D. (2020) Automation, Analytics, and the Future of Work in Finance. Oxford: Oxford University Press.
  47. Trist, E. (1981) The Evolution of Socio-Technical Systems: A Conceptual Framework and an Action Research Program. Ontario: Ontario Ministry of Labour.
  48. Wang, Y. (2021) 'Reskilling the Financial Workforce for the Digital Age', European Accounting Review, 30(1), pp. 55-70.
  49. Weber, K. (2022) Management Control and Digital Transformation: AI, Big Data, and Beyond. Wiesbaden: Springer Gabler.