Evidence from Multi-Dimensional Analysis and Corpora
Chapter 4 Shot 2: Close-ups 95
95 Chapter 4 Shot 2: Close-ups 4.1 Introduction Having established the similarity of face-to-face and movie conversation through a macro-analysis in Chapter 3, Chapter 4 narrows the scope and provides close-ups which examine this similarity in detail. Firstly, a comparative Multi-Dimensional Analysis of two movie genres – com- edies and non-comedies – is presented in Section 4.2. Secondly, in Section 4.3, phraseological comparisons are made between the whole AMC, including all genres of movies, and the LSAC. The features exam- ined are word lists, multi-word sequences and pattern types. 4.2 Multi-Dimensional Analysis of Movie Genre In this section, Multi-Dimensional Analysis is used to investigate whether the genre of a movie influences the resemblance between face- to-face and movie conversation. As Chapter 3 demonstrated, the two conversational domains are in fact very similar, despite what is usually maintained in the literature (cf. Chapter 1). They share four out of five Dimensions: they both have a positive score as far as Dimension 1 and 4 are concerned, and a negative score as regards Dimension 2 and 3. Face-to-face and movie conversation, consequently, belong to the same text type in that they are involved, non-narrative, situation de- pendent, and not highly persuasive. The only difference found concerns Dimension 5: movie conversation has a positive score, so it is defined 96 as abstract, whereas face-to-face conversation has a negative score and is labeled as non-abstract. In spite of this difference, however, neither of the two conversational types has a high mean score, which means that the...
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