表达式(计算机科学)
困境
情感(语言学)
价值(数学)
功能(生物学)
心理学
评价理论
社会心理学
领域(数学)
认知心理学
安全性令牌
光学(聚焦)
计算机科学
认识论
沟通
数学
机器学习
哲学
物理
计算机安全
进化生物学
纯数学
光学
生物
程序设计语言
出处
期刊:Pragmatics & beyond
日期:2014-01-16
卷期号:: 47-66
被引量:45
标识
DOI:10.1075/pbns.242.03tho
摘要
The focus in this chapter is on the evaluative systems of attitude, as modelled in the appraisal framework. While fully accepting the validity of the model, I explore three practical issues that arise in applying it. The first concerns the question of whether affect, the core area of attitude, should be distinguished from the more general field of emotion talk, and, if so, how. The second issue arises because two related but distinct criteria are used to distinguish judgements and appreciations: the kind of entity evaluated (the target) and the value ascribed to it. As a result, there may be an apparent mismatch between these two criteria. The third difficulty can be called the ‘Russian doll’ dilemma. An expression of one category of attitude may function as a token (an indirect expression) of a different category; and that token may itself function as an indirect expression of yet another category, and so on. This poses problems for a study of evaluation which relies on quantitative analysis. I suggest my own principles to help make life a little easier for anyone engaged in analysing evaluation in text.
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