2016
DOI: 10.17239/jowr-2016.07.03.08
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Finding genre signals in academic writing

Abstract: Abstract1. The Challenges of Learning "Always Custom" Academic Genres Pare' (2015) calls our attention to a seemingly paradoxical quality of genres of academic writing that, when we pause to consider it, accounts for the challenge many of us feel as novice writers. Certain types of texts, at a broad level, and more importantly the opportunities to produce these certain types of texts, recur. Drawing upon rhetorical genre theory (RGT), however, Pare notes that repetition and the expectation that there will be … Show more

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Cited by 21 publications
(5 citation statements)
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“…These findings are partially corroborated by the study of Luna et al [35], using a WBWI, where the results show an improvement in the number of reasons against in the written production of the study participants. In addition, the use of citations (whose frequency increased significantly in the present study) is a genre signal of quality scientific writing [80]. The listed findings highlight the effectiveness of the ECM on learning in the expression of the specific rhetorical steps that define the argumentative genre of a scientific nature beyond the results of other investigations conducted under similar conditions.…”
Section: Discussionsupporting
confidence: 60%
“…These findings are partially corroborated by the study of Luna et al [35], using a WBWI, where the results show an improvement in the number of reasons against in the written production of the study participants. In addition, the use of citations (whose frequency increased significantly in the present study) is a genre signal of quality scientific writing [80]. The listed findings highlight the effectiveness of the ECM on learning in the expression of the specific rhetorical steps that define the argumentative genre of a scientific nature beyond the results of other investigations conducted under similar conditions.…”
Section: Discussionsupporting
confidence: 60%
“…Also, as we work with similar corpora in similar ways and reach similar kinds of conclusions, the overall reliability of those corpora increases (Gablasova et al, 2019). Writing studies research, for example, has built similar corpora of student writing and found compatible results about matters such as citation patterns (Kaufer et al, 2016;Omizo & Hart-Davidson, 2016b), revision strategies (Holcomb & Buell, 2018;Leijen, 2017), and argumentative stance (Arthurs, 2018;Barton, 1993).…”
Section: Further Considerationsmentioning
confidence: 64%
“…Corpus analysis has also been used to suggest effective types of mentorship for advanced students. Omizo and Hart-Davidson (2016b) "explore [d] the possibilities of using computational methods to create an assistive environment for advisor-advisee mentoring in academic writing" (p. 487). They identified "lexical patterns and rhetorical uses of the in-text citations" to create categories of citation moves (Extraction, Grouping, and Author[s] as Actant[s]), then compared these moves between three dyads of advisor-advisee writing.…”
Section: Pedagogymentioning
confidence: 99%
“…Genre coding is an established research methodology in the fields of rhetoric (Grabill & Pigg, 2012; Kane, 2020; Larson et al, 2016; Omizo, Clark et al, 2019; Omizo, Meeks et al, 2021; Propen & Lay Schuster, 2010), writing studies (Madden & Tarabochia, 2021), and English for specific (Flowerdew, 2016) and academic purposes (Chang & Kuo, 2011; Flowerdew, 2000). In BTC, genre coding has been used to study the contrasting feedback given by novice and expert communities (Dannels & Martin, 2008) and English and Chinese call centers (Xu et al, 2010), artifactual analysis of professional writing genres such as multimodal crowdsourced proposals (Feng et al, 2023), content marketing materials such as websites and portfolios (Wall & Spinuzzi, 2018), job rejection letters (Thominet, 2020), science and engineering Kickstarter proposals (Mehlenbacher, 2017), and industry white papers (Campbell & Naidoo, 2017), with the latter three studies adopting what has become known as Swalesean move analysis.…”
Section: Research On Genre Codingmentioning
confidence: 99%