DOI: 10.6035/14110.2018.189457
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A Multimodal Approach to Metadiscourse as an Organizational Tool

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Cited by 5 publications
(9 citation statements)
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“…In order to explore the modal density in both structuring segments and content sequences, a dataset of six university lectures in Humanities was compiled from 167 5 which twelve fragments (six structuring segments and six content sequences) were extracted. The dataset comes from a larger study in which 152 lectures were explored (Bernad-Mechó, 2018). The lectures for this study were all extracted from the OpenCourseWare (OCW) offered at Yale University's website.…”
Section: The Datasetmentioning
confidence: 99%
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“…In order to explore the modal density in both structuring segments and content sequences, a dataset of six university lectures in Humanities was compiled from 167 5 which twelve fragments (six structuring segments and six content sequences) were extracted. The dataset comes from a larger study in which 152 lectures were explored (Bernad-Mechó, 2018). The lectures for this study were all extracted from the OpenCourseWare (OCW) offered at Yale University's website.…”
Section: The Datasetmentioning
confidence: 99%
“…Still, only the four more frequent types of organizational metadiscourse, i.e. introducing topic, previewing, reviewing, and contextualizing (Bernad-Mechó, 2018), were considered for the analysis, as the presence of other types of organizational metadiscourse is minimal. These segments were chosen taking into account the first metadiscursive instance in the fragment as the starting point, and the end of the last metadiscursive utterance marking the completion of the segment.…”
Section: The Datasetmentioning
confidence: 99%
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“…The present research will be limited to speech and paralanguage, as the interviews were audio recorded. Moreover, among the paralinguistic elements it will focus on prosody (Roach, Stibbard, Osborne, Arnfield & Setter, 1998) and the contribution of silence, speed, loudness, and syllabic duration to convey hesitation or to intensify verbal messages (Querol-Julián, 2011;Crawford-Camiciottoli, 2015;Bernad-Mechó, 2018).…”
Section: Multimodal Discourse Analysismentioning
confidence: 99%