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Where explanation ends: Understanding as the place the spade turns in the social sciences

机译：解释在何处结束：理解锹在社会科学中的地位

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Explanations implicitly end with something that makes sense, and begin with something that does not make sense. A statistical relationship, for example, a numerical fact, does not make sense; an explanation of this relationship adds something, such as causal information, which does make sense, and provides an endpoint for the sense-making process. Does social science differ from natural science in this respect? One difference is that in the natural sciences, models are what need "understanding." In the social sciences, matters are more complex. There are models, such as causal models, which need to be understood, but also depend on background knowledge that goes beyond the model and the correlations that make it up, which produces a regress. The background knowledge is knowledge of in-filling mechanisms, which are normally made up of elements that involve the direct understanding of the acting and believing subjects themselves. These models, and social science explanations generally, are satisfactory only when they end the regress in this kind of understanding or use direct understanding evidence to decide between alternative mechanism explanations.
机译：隐含的解释以有意义的事物结尾，而以毫无意义的事物开头。统计关系（例如数字事实）没有意义；对这种关系的解释会添加某些内容，例如因果关系信息，这确实是有道理的，并提供了进行意义的过程的终点。社会科学在这方面是否与自然科学不同？一个区别是，在自然科学中，模型是需要“理解”的东西。在社会科学中，问题更为复杂。有一些模型（例如因果模型）需要理解，但还依赖于超出模型的背景知识以及组成模型的相关性，从而产生回归。背景知识是填充机制的知识，填充机制通常由涉及直接了解表演和相信主体本身的元素组成。这些模型和社会科学解释通常只有在以这种理解结束回归或使用直接理解证据来决定其他机制解释之间时才令人满意。

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