This work is a cognitive-linguistic investigation of metaphor in languages for special purposes (LSP). Metaphorization is (re-)defined as a transfer of mental schemata which are mapped from a familiar source domain to analogically structure a hard-to-grasp target domain. Metaphors are empirically evaluated in an investigation of academic writing as well as of popular-scientific texts in the domains of economics, medicine and computing. The empirical analysis provides evidence that even scientific reasoning recurs to metaphorical thinking as an information-processing strategy. Since metaphors appear to define the scientific paradigms which determine (but also constrain) the scope of scientific reasoning, the findings give rise to a discussion about the objectivity of science.
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2005. 290 pp., num. fig. and tables
Contents: Theories of Metaphor – Metaphors and Models – Metaphors and Knowledge Representations – Languages for Special
Purposes (LSP) – Expert Model versus Commonsense Model – Method of Investigating Metaphor in LSP – Metaphors in LSP.