1. Towards a System Philosophy of Scientific Research
- Author
-
Gerard Radnitzky
- Subjects
Sociology of scientific knowledge ,05 social sciences ,06 humanities and the arts ,050905 science studies ,0603 philosophy, ethics and religion ,Research process ,Epistemology ,Philosophy ,Contemporary philosophy ,Conceptual framework ,Dynamics (music) ,Paradigm shift ,060302 philosophy ,Spite ,Sociology ,0509 other social sciences ,Social Sciences (miscellaneous) ,Empirical psychology - Abstract
Can research be studied in a way that is neither logical reconstruction nor empirical psychology or sociology of science? In contemporary philosophy of science this is usually denied—in spite of the recent 'paradigm shift' there. A system-philosophy approach in theory of research is outlined by means of some models: a research enterprise is viewed as a productive, innovative system, the research process as a transformation of complexes of knowledge-problems-instruments (software and hard ware). The direction this development takes is guided by preconceptions about the subject matter and a programmatic conception of the discipline based on them ('internal steering factors'). The dynamics of the research process are schematized as a co-agency of 'theoretical and 'empirical' moments, which is viewed as a flow of problems, information, and conceptual frameworks. Empirically discovered pieces of knowledge may resist all attempts to explain them: the flow is disturbed, and only an extraordinary innovation on the 'theoretical' level can restore the balance. This involves a shift in perspective: a shift in the 'internal steering factors'. (In this way one type of 'scientific revolution' (Kuhn's type) is conceptualized). After a perspectival shift one will ask 'Does it constitute progress ?' Types of criteria are suggested. Although they do not apply to all research situations, they over-arch research-traditions. Eventually the above models are applied in the reflection of Research Theory on itself. Research Theory should improve our knowledge about knowledge-production. This knowledge should contribute to improving our image of science and the researcher's sensitivity—by providing better tools for concept ualizing research situations and for imagining possible alternatives.
- Published
- 1974