TWO BAD WAYS TO ATTACK INTELLIGENT DESIGN AND TWO GOOD ONES

Four arguments are examined in order to assess the state of the Intelligent Design debate. First, critics continually cite the fact that ID proponents have religious motivations. When used as criticism of ID arguments, this is an obvious ad hominem. Nonetheless, philosophers and scientists alike continue to wield such arguments for their rhetorical value. Second, in his expert testimony in the Dover trial, philosopher Robert Pennock used repudiated claims in order to brand ID as a kind of pseudoscience. His arguments hinge on the nature of methodological naturalism as a metatheoretic shaping principle. We examine the use of such principles in science and the history of science. Special attention is given to the demarcation problem. Third, the scientific merits of ID are examined. Critics rightly demand more than promissory notes for ID to move beyond the fringe. Fourth, although methodological naturalism gets a lot of attention, there is another shaping principle to contend with, namely, conservatism. Science, like most disciplines, tends to change in an incremental rather than revolutionary manner. When ID is compared to other non‐ or quasi‐Darwinian proposals, it appears to be a more radical solution than is needed in the face of the anomalies.     

THE SEMANTIC STRUCTURE OF EVOLUTIONARY BIOLOGY AS AN ARGUMENT AGAINST INTELLIGENT DESIGN

Abstract. This paper examines the impact of two formalizations of evolutionary biology on the antiselectionist critiques of the Intelligent Design (ID) movement. It looks first at attempts to apply the syntactic framework of the physical sciences to biology in the twentieth century, and to their effect upon the ID movement. It then examines the more heuristic account of biological‐theory structure, namely, the semantic model. Finally, it concludes by advocating the semantic conception and emphasizing the problems that the semantic model creates for ID's negative and positive theses.     

用信息函数法对标准参照测验作质量分析

根据项目反应理论的信息函数法,以自主开发的“现代教育和心理测量通用分析系统”为工具,对两个大规模实施的标准参照测验进行了测验质量分析。结果说明,信息函数分析法比经典真分数理论分析法,可以获得更丰富、深刻、有针对性的资料,能对项目筛选修订、测验编制开发给出有力的指导,值得大力引进、推广。