It was comforting to know I’d tried to cover lots of bases, and it gave me a way to get my head out of the intense detail of the thesis and make sure I had stepped back to consider the angles I imagined might come up. I wasn’t nervous going in and was lucky enough to really enjoy it, probably because during the 6 months between submission and viva I tried to answer at least one of the generic viva questions on the list I’m posting here every day. My PhD viva in November 2016 involved a challenging, rich and rigorous two hour conversation with Professors Christian Heath and Lorenza Mondada. It was recorded for my Berklee students, so not all parts of it (especially where I refer to the data you’ll have available to you) are relevant to this blog tutorial. The idea of this tutorial is that you can use this as a starting point and then replace the video with your own data. You only get a tiny clip of the whole Game_Night.mov video file here. They’re both zipped up together in this downloadable folder. Cecelia Ford for letting me use her often-cited CA data for this tutorial), and Game_Night.cha – the accompanying CLAN transcription file. To follow along with this tutorial you’ll need two files: a small clip from “Game Night”(many thanks to Prof. I wanted to teach my students to use both paradigms and to be able to switch between them so I made this little how-to video. Lorenza Mondada’s presentation on the differences between types of transcription software has a great explanation of the two basic transcription paradigms (partition-based, horizontally scrolling editors and turn-by-turn, vertically scrolling editors) and what they are most useful for. What I’ve tried to show them is how to do transcripts that allow them to shift between turn-by-turn action and simultaneous, multi-activity interactions. I’ve been teaching EM/CA at Berklee School of Music which has been a delight, and the students are often transcribing situations that involve music, dance, performance, composition and other settings where it’s equally important to transcribe talk and bodily action.
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