K. Brad Wray

I present a history of Kuhn’s discovery of paradigms, one that takes account of the complexity of the discovery process. Rather than emerging fully formed in Structure , the concept paradigm emerged through a series of phases. Early criticism of Structure revealed that the role of paradigms was unclear. It was only as Kuhn responded to criticism that he finally articulated a precise understanding of the concept paradigm. In a series of publications in the 1970s, he settled on a conception of a paradigm as a concrete exemplar that functions as a guide to future research

Realists and anti-realists disagree about whether contemporary scientists are epistemically privileged. Because the issue of epistemic privilege figures in arguments in support of and against theoretical knowledge in science, it is worth examining whether or not there is any basis for assuming such privilege. I show that arguments that try to explain the success of science by appeal to some sort of epistemic privilege have, so far, failed. They have failed to give us reason to believe (i) that scientists are prone to develop theories that are true, (ii) that our current theories are not apt to be replaced in the future, and (iii) that science is nearing its completion

I examine the value and limitations of Kuhn’s Structure of Scientific Revolutions. In the interests of developing a social epistemology of science, I argue that we should draw on Kuhn’s later work, published in The Road since Structure. There, Kuhn draws attention to the important role that specialty formation plays in resolving crises in science, a topic he did not discuss in Structure. I argue that we need to develop a better understanding of specialty research communities. Kuhn’s later work provides a research agenda for those who want to study scientific specialization. I briefly discuss some recent studies that promise to provide valuable insight into the social structure of science

Jon Elster and Daniel Little have criticized social scientists for appealing to a mechanism of social selection in functional explanations of social practices. Both believe that there is no such mechanism operative in the social world. I develop and defend an account of functional explanation in which a mechanism of social selection figures centrally. In addition to developing an account of social selection, I clarify what functional hypotheses purport to claim, and re-examine the role of agents’ intentions in functional explanations in an effort to show why a mechanism of social selection is indispensable to adequate functional explanations.

I revisit an older defense of scientific realism, the methodological defense, a defense developed by both Popper and Feyerabend. The methodological defense of realism concerns the attitude of scientists, not philosophers of science. The methodological defense is as follows: a commitment to realism leads scientists to pursue the truth, which in turn is apt to put them in a better position to get at the truth. In contrast, anti-realists lack the tenacity required to develop a theory to its fullest. As a consequence, they are less likely to get at the truth. My aim is to show that the methodological defense is flawed. I argue that a commitment to realism does not always benefit science, and that there is reason to believe that a research community with both realists and anti-realists in it may be better suited to advancing science. A case study of the Copernican Revolution in astronomy supports this claim.

It has often been remarked that science is a young man's game. Thomas Kuhn, for example, claims that revolutionary changes in science are almost always initiated by either young scientists or those new to a field. I subject Kuhn's hypothesis to testing. I examine 24 revolutionary scientific figures mentioned in The Structure of Scientific Revolutions to determine if young scientists are more likely to make revolutionary discoveries than older scientists. My analysis suggests that middle-aged scientists are responsible for initiating more scientific revolutions than young scientists, given the proportion of each group in the total population of scientists. I argue that the popular myth about the correlation between youth and scientific discovery fails to take into account the proportion of young scientists in the population of scientists.