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A variational approach to deliberate metaphors

Authors: Tay, D;

A variational approach to deliberate metaphors

Abstract

While Deliberate Metaphor Theory is controversial from a psychological point of view, its advocates propose that the communicative notion of ‘deliberateness’ is valuable for structural-functional analyses of metaphors in the social world. Nevertheless, the inter-relationships between the linguistic, conceptual, and communicative dimensions of metaphor highlighted by Deliberate Metaphor Theory, and how these may vary across different discourse contexts, remains underexplored. This paper examines deliberate metaphor across four contrasting discourse categories of psychotherapy talk, news articles, popular science articles, and political speeches. 800 metaphor units were randomly sampled and coded under the variables DIRECT (direct/indirect), NOVEL (novel/conventional), DELIB (deliberate/non-deliberate), and CATEGORY. In the first part of the study, a hierarchical log-linear analysis identified three significant interaction effects: DELIB*DIRECT, CATEGORY*NOVEL*DIRECT, and CATEGORY *NOVEL*DELIB (χ2(7) = 0.0, p = 1). While generally reflecting the inter-relatedness of the three dimensions, the three-way interactions point towards underexplored patterns of variation which are discussed with respect to contrasting discourse objectives. In the second part of the study, six categories of deliberate metaphor features were inductively identified: elaboration, signal, analogy, stark novelty, topic-triggering, and repetition. They demonstrate diverse strategic ways in which ‘deliberateness’ is constructed across the four discourse categories.

Countries
China (People's Republic of), Hong Kong
Keywords

Metaphor variation, Deliberate metaphor, Log-linear analysis

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Average
Average
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