Good science and good philosophy of science

I argue against the assumption that the influence of non-cognitive values must lead to bad science, opening the way for the thesis that non-cognitive values are compatible with good science. This, in turn, allows us to answer feminist questions, principally, How do gender politics influence science? without (1) having to reject the question a priori because theories of science assume that political values cannot influence good scientific work and (2) having made a case for the influence of gender politics upon a particular bit of scientific work, being put into the ludicrous position of saying that it is bad science after all, even though the relevant community of scientists say it is good. Nevertheless, moral and political neutrality is held to be a norm of good science and a tacit metaphilosophical norm governing good philosophy of science, viz., a good philosophy of science reveals and analyzes the morally and politically neutral production of good science. This metaphilosophical norm insures that the philosophy of science (1) is blind to the influence of non-cognitive values on good science if and when these are present and so (2) acquiesces in the moral or political arrangements supported by the science in question.     

Phenomenology and philosophy of science

This article examines human systemic condition and its evolved cultural organization from the perspective of information. The aim is to discuss general, tentative hypotheses on the nature and role of information in human systems. As a framework, the article considers information as the underlying parameter of growth on the general evolutionary trajectory. Information growth experienced an unprecedented increase at the appearance of Homo Sapiens Sapiens, which, as is well known, implies the trajectory's close relation to our species. This has led to the notion of post-organic evolutionary era in which humankind, through cultural evolutionary means, is in the process of supplanting biological determinants. Development, understood generally as victory over nature, has always been the measure by which our species has defined its success; humankind persists in faith in technical solutions to all problems.     

Statistical concepts in philosophy of science

This article focuses on the role of statistical concepts in both experiment and theory in various scientific disciplines, especially physics, including astronomy, and psychology. In Sect. 1 the concept of uncertainty in astronomy is analyzed from Ptolemy to Laplace and Gauss. In Sect. 2 theoretical uses of probability and statistics in science are surveyed. Attention is focused on the historically important example of radioactive decay. In Sect. 3 the use of statistics in biology and the social sciences is examined, with detailed consideration of various Chi-square statistical tests. Such tests are essential for proper evaluation of many different kinds of scientific hypotheses.     

Semantic approaches in the philosophy of science

In this article I give an overview of some recent work in philosophy of science dedicated to analysing the scientific process in terms of (conceptual) mathematical models of theories and the various semantic relations between such models, scientific theories, and aspects of reality. In current philosophy of science, the most interesting questions centre around the ways in which writers distinguish between theories and the mathematical structures that interpret them and in which they are true, i.e. between scientific theories as linguistic systems and their non-linguistic models. In philosophy of science literature there are two main approaches to the structure of scientific theories, the statement or syntactic approach—advocated by Carnap, Hempel and Nagel—and the non-statement or semantic approach—advocated, among others, by Suppes, the structuralists, Beth, Van Fraassen, Giere, Wójcicki. In conclusion, I briefly review some of the usual realist inspired questions about the possibility and character of relations between scientific theories and reality as implied by the various approaches I discuss in the course of the article. The models of a scientific theory should indeed be adequate to the phenomena, but if the theory is ‘adequate’ to (true in) its conceptual (mathematical) models as well, we have a model-theoretic realism that addresses the possible meaning and reference of ‘theoretical entities’ without relapsing into the metaphysics typical of the usual scientific realist approaches.