Article reviews play a pivotal role in fostering students’ critical evaluation and critical thinking skills. News & Views (N&V) articles published in Nature journals are one prominent example of article reviews and serve as excellent models for students to learn and refine their skills in writing article reviews. However, there is limited research on the rhetorical features of N&V articles, especially in terms of textual organization across different disciplines. To address this gap, three corpora were compiled for the present study, representing the disciplinary groups of natural sciences (NS), social sciences (SS), and technology and engineering (TE). Each corpus was comprised of 30 N&V texts from its respective disciplinary group. Using a self-developed coding framework building on previous research, we coded the move and step of each text in the corpora. The coding data were compared and analyzed to uncover the distinguishing textual features of the three disciplinary groups. The analysis revealed that the variations were predominantly at the step level. N&V articles of NS and SS shared most of the moves and steps, but N&Vs in TE exhibited unique stylistic characteristics. These findings hold significant implications for training and teaching article review writing, particularly in relation to disciplinary contexts.

文章评论在培养学生的批判性评价和批判性思维能力方面发挥着关键作用。在《自然》杂志上发表的新闻与观点 (N&V) 文章是文章评论的一个突出例子，也是学生学习和提高撰写文章评论技能的绝佳模型。然而，对于 N&V 文章的修辞特征的研究还很有限，特别是在跨学科的文本组织方面。为了解决这一差距，本研究编制了三个语料库，代表自然科学（NS）、社会科学（SS）和技术与工程（TE）学科组。每个语料库由来自其各自学科组的 30 篇 N&V 文本组成。使用基于先前研究的自主开发的编码框架，我们对语料库中每个文本的移动和步骤进行了编码。对编码数据进行比较和分析，以揭示三个学科组的独特文本特征。分析表明，变化主要发生在步骤级别。NS和SS的N&V文章共享大部分动作和步骤，但TE中的N&V文章表现出独特的风格特征。这些发现对培训和教学文章评论写作具有重大意义，特别是在学科背景方面。