Cross-disciplinary variation in metadiscourse: A corpus-based analysis of Russian-authored research article abstracts

Q1 Social Sciences
O. Boginskaya
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Abstract

The article deals with metadiscourse variation in academic texts across disciplinary boundaries. Its main focus is on the distribution of metadiscourse markers in Russian-authored academic prose in the field of applied linguistics and engineering. The study assumes that the distribution of metadiscourse devices is determined by disciplinary norms. The theoretical basis of the study is Hyland’s taxonomy of metadiscourse markers. With the aim of investigating metadiscourse in English-medium research article (RA) abstracts by Russian authors, the present study adopted a combination of quantitative and qualitative methods. The results revealed that RA abstracts feature four types of metadiscourse markers whose distribution varies across two disciplines representing the humanities and hard sciences. The study also investigated the degree of familiarity of linguistics and engineering scholars from leading Russian universities with metadiscourse devices and their awareness of the need to use them in research articles. To achieve this goal, a survey was conducted to obtain data on knowledge of metadiscourse as a discursive strategy. The findings carry therefore pedagogical implications for academic writing course designers and instructors and can enhance non-native English writers’ knowledge of academic writing conventions in the discipline.
元话语的跨学科变异:基于语料库的俄语研究论文摘要分析
本文探讨了学术文本中跨学科的元话语变异。本文的研究重点是应用语言学和工程学领域的俄语学术散文中元话语标记的分布。本研究假设元话语装置的分布是由学科规范决定的。本研究的理论基础是Hyland的元话语标记分类。本研究采用定量与定性相结合的方法,对俄罗斯作者的英文研究论文摘要中的元语篇进行了研究。结果表明,RA摘要具有四种类型的元话语标记,其分布在人文科学和硬科学两个学科之间存在差异。该研究还调查了来自俄罗斯顶尖大学的语言学和工程学学者对元话语装置的熟悉程度,以及他们对在研究文章中使用元话语装置的必要性的认识。为了实现这一目标,我们进行了一项调查,以获得元话语作为话语策略的知识数据。因此,研究结果对学术写作课程设计师和教师具有教学意义,并可以提高非英语母语作家对该学科学术写作惯例的了解。
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
Training, Language and Culture
Training, Language and Culture Social Sciences-Cultural Studies
CiteScore
1.30
自引率
0.00%
发文量
27
审稿时长
8 weeks
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