Hirschfeld J
Med Hypotheses. 1977 Jan-Feb;3(1):13-20. doi: 10.1016/0306-9877(77)90046-9.
A serologic field (SEF) is produced by the in vitro studies of antibody-antigen interactions and usually includes serologic information processing (SIF). SIF can be regarded as the process whereby essentially "meaningless" raw data or experimental observables emanating from an input reality are structuralized and hence falsified into a "meaningful" pattern, Gestalt or output image. According to this "black box model", different "fact categories" (FC) can be identified in SEF. Traditional serology generally confounds its FC whereby fact category mistakes (FCM) are produced. Some FCM are structurally similar to the description of "mice" as four-letter animals or as a four-legged word--i.e. facts about "thing-properties" (animals, legs) are confounded with facts about "language-properties" (letters, words). In SEF, antibody and antigen molecules (thing-properties) are similarly endowed with "empty symbols" (language-properties). Due to such FCM, radically new meanings are assigned to experimental observables if the serologic language and/or theory is changed. The present meta-serologic approach consists of the design of a meta-serologic symbol language (SL-2) which includes the contemporary (simple-complex) conceptual framework (language and theory) as a limiting case. Consequently, some truly radical and revolutionary Gestalt switches will be generated when a specified SEF is mapped onto SL-2.
血清学领域（SEF）是通过抗体 - 抗原相互作用的体外研究产生的，通常包括血清学信息处理（SIF）。SIF可被视为这样一个过程，即从输入现实中产生的本质上“无意义”的原始数据或实验可观测数据被结构化，从而被伪造为一种“有意义”的模式、格式塔或输出图像。根据这个“黑箱模型”，在SEF中可以识别出不同的“事实类别”（FC）。传统血清学通常混淆其FC，从而产生事实类别错误（FCM）。一些FCM在结构上类似于将“老鼠”描述为四个字母的动物或一个由四个字母组成的单词——也就是说，关于“事物属性”（动物、腿）的事实与关于“语言属性”（字母、单词）的事实相混淆。在SEF中，抗体和抗原分子（事物属性）同样被赋予了“空符号”（语言属性）。由于这种FCM，如果血清学语言和/或理论发生变化，就会给实验可观测数据赋予全新的意义。当前的元血清学方法包括设计一种元血清学符号语言（SL - 2），它将当代（简单 - 复杂）概念框架（语言和理论）作为一种极限情况包含在内。因此，当将特定的SEF映射到SL - 2上时，将会产生一些真正激进和革命性的格式塔转换。
