Understanding Russophone Estonian Identity Through Popular Culture: An Analysis of Hip-Hop Hit “für Oksana”

IF 1.3 3区 社会学 Q1 AREA STUDIES
Michael Cole
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Abstract

Since emerging in the early 1990s, Estonian hip-hop has developed in line with other cultural and artistic projects in the country, reflecting attempts to foster a homogeneous society, yet ultimately cultivating one where diversity and multiculturalism prevail. As a genre where minority groups are frequently presented as “authentic,” hip-hop and its visual and performative manifestations provide a valuable platform to examine expressions of identity. To this end, several Estonian hip-hop musicians have explored aspects of being “post-Soviet” in contradistinction to official hegemonic discourses, which outright reject the Soviet past and emphasize titular ethnicity as a cornerstone of national identity. This article uses Critical Discourse Analysis (CDA) and Multi-Modal Discourse Analysis (MMDA) to examine the lyrics and accompanying video of popular hip-hop song “für Oksana” by “Nublu featuring Gameboy Tetris.” Doing so highlights how the song’s basic narrative acts as a metaphor for experiences of integration processes between ethnic Estonians and Russophones since Estonian independence. I argue that through a combination of linguistic and cultural codeswitching, “für Oksana” constitutes an expression, performance, and negotiation of Russophone Estonian identity from both insider and outsider perspectives, emphasizing the need to understand Russophone Estonians as more than simply “Russians who live in Estonia.”
从流行文化理解俄语爱沙尼亚人的身份——嘻哈热门歌曲《für Oksana》分析
自20世纪90年代初出现以来,爱沙尼亚嘻哈音乐的发展与该国其他文化和艺术项目保持一致,反映出试图培养一个同质社会,但最终培养出一个多样性和多元文化盛行的社会。作为一种少数群体经常被视为“真实”的流派,嘻哈及其视觉和表演表现形式为审视身份表达提供了一个宝贵的平台。为此,几位爱沙尼亚嘻哈音乐人探索了“后苏联”的各个方面,与官方霸权话语形成鲜明对比,后者彻底拒绝苏联的过去,并强调名义上的种族是国家身份的基石。本文运用批判性话语分析(CDA)和多模态话语分析(MMDA)对流行嘻哈歌曲《für Oksana》的歌词和视频进行了分析。“这样做突出了这首歌的基本叙事是如何隐喻爱沙尼亚独立以来爱沙尼亚人和俄罗斯人之间的融合过程的。我认为,通过语言和文化密码转换的结合,“für Oksana”从内部和外部的角度构成了对俄语爱沙尼亚人身份的表达、表演和协商,强调需要将俄语爱沙尼亚人理解为不仅仅是“生活在爱沙尼亚的俄罗斯人”
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.00
自引率
16.70%
发文量
137
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