Unveiling the Argumentative Nature of Meta-Analysis in Applied Linguistics: An Argument Mining Approach
سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 62
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شناسه ملی سند علمی:
JR_JMRELS-10-4_007
تاریخ نمایه سازی: 2 آبان 1402
چکیده مقاله:
Despite paradigmatic research advancements and movements in applied linguistics, the issue of rhetoric, which serves as one of the fundamental pillars of each paradigm, remains largely unaccounted for. Considering the commensurability of argumentation and meta-analysis, coupled with the increasing rate of meta-analytic studies in the field of applied linguistics, there arises a need to examine the argumentation behavior of applied linguistics’ meta-analysts. As such, following research synthesis techniques and an argument mining approach, we examined the academic argumentation genre of meta-analysis published in leading applied linguistics journals through argument-mining techniques in light of the modified Toulmin framework proposed by Qin and Karabacak (۲۰۱۰). The current study, employing the modified Toulmin framework, examined the argumentative writing components represented in the introduction section of ۵۴ meta-analytic studies published in leading journals of applied linguistics through argument-mining techniques. Our findings highlight the complexity and argumentativeness of the meta-analysis genre. We further found that the Modified Toulmin Model is implementable for the task of argument mining, which can have a great impact on argumentation, meta-analysis, and argumentative academic writing. Implications and recommendations for academic argumentative writers and meta-analyzers are discussed.
کلیدواژه ها:
نویسندگان
Arsalan Yaghoobi
MS student of Computational Linguistics at Brandeis University, USA
Mohammad Amini Farsani
Department of Foreign Languages, Iran University of Science and Technology
Behrouz Minaei-Bidgoli
School of Computer Engineering, Iran University of Science and Technology
Ali Asghar Taghizadeh
School of Computer Sciences at Iran University of Science and Technology