We compare Carnap's and Kuhn's views on science. Although there are important differences between them, the similarities are striking. The basis for the latter is a pragmatically oriented semantic conventionalist picture of science, which suggests that the view that post-positivist philosophy of science constitutes a radical revolution which has no interesting affinities with logical positivism must be seriously mistaken.
This paper argues against Papineau's claim that causal relations can be reduced to correlations and defends Cartwright's thesis that they can be nevertheless boot-strapped from them, given sufficiently rich causal background knowledge.
In this article we develop an account of justice in the distribution of knowledge. We first argue that knowledge is a fundamental interest that grounds claims of justice due to its role in individuals’ deliberations about the common good, their personal good and the pursuit thereof. Second, we identify the epistemic basic structure of a society, namely, the institutions that determine individuals’ opportunities for acquiring knowledge and discuss what justice requires of them. Our main contention is that a systematic lack (...) of opportunity to acquire knowledge one needs as an individual and a citizen because of the way the epistemic basic structure of a society is organized is an injustice. Finally, we discuss how our account relates to John Rawls's influential theory of justice. (shrink)
Humean accounts of law are at the same time accounts of causation. Accordingly, since laws are nothing but contingent cosmic regularities, to be a cause is just to be an instance of such a law. Every particular cause-effect pair, according to these accounts, instantiates some law of nature. I argue that this claim is false. Singular causation without being governed by any law is logically and physically possible. Separating causes from laws enables us to see the distinct role each plays (...) in science, especially in matters related to prediction and explanation. (shrink)
In this article we develop an account of justice in the distribution of knowledge. We first argue that knowledge is a fundamental interest that grounds claims of justice due to its role in individuals’ deliberations about the common good, their personal good and the pursuit thereof. Second, we identify the epistemic basic structure of a society, namely, the institutions that determine individuals’ opportunities for acquiring knowledge and discuss what justice requires of them. Our main contention is that a systematic lack (...) of opportunity to acquire knowledge one needs as an individual and a citizen because of the way the epistemic basic structure of a society is organized is an injustice. Finally, we discuss how our account relates to John Rawls’s influential theory of justice. (shrink)
The idea of family resemblance, when applied to science, can provide a powerful account of the nature of science (NOS). In this chapter we develop such an account by taking into consideration the consensus on NOS that emerged in the science education literature in the last decade or so. According to the family resemblance approach, the nature of science can be systematically and comprehensively characterised in terms of a number of science categories which exhibit strong similarities and overlaps amongst diverse (...) scientific disciplines. We then discuss the virtues of this approach and make some suggestions as to how one can go about teaching it in the classroom. (shrink)
Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims.
Although there is universal consensus both in the science education literature and in the science standards documents to the effect that students should learn not only the content of science but also its nature, there is little agreement about what that nature is. This led many science educators to adopt what is sometimes called “the consensus view” about the nature of science (NOS), whose goal is to teach students only those characteristics of science on which there is wide consensus. This (...) is an attractive view, but it has some shortcomings and weaknesses. In this article we present and defend an alternative approach based on the notion of family resemblance. We argue that the family resemblance approach is superior to the consensus view in several ways, which we discuss in some detail. (shrink)
Fleeing from the Nazi regime, along with many German refugees, Hans Reichenbach came to teach at Istanbul University in 1933, accepting the invitation of the Turkish government and stayed in Istanbul until 1938. While much is known about his work and life in Istanbul, the existing literature relies mostly on his letters and works. In this article I try to shed more light on Reichenbach's scholarly activities and personal life by also taking into account the Turkish sources and the academic (...) context in which Reichenbach taught and worked. (shrink)
From its early origins to the present, the development of mainstream economic theory has taken a direction which has excluded the analysis of human needs as a basis for social policy. The problems associated with this orientation are increasingly recognized both by economists and non-economists. As Sen points out, it is indeed strange for a discipline concerned with the well-being of people to neglect the question of needs. Currently, some writers such as Doyal and Gough, post-Keynesian economists such as Lavoie, (...) and those such as Davis and O'Boyle who work in the newly emerging school of social economics have begun to address the question of human needs, especially in relation to problems of policy assessment and evaluation. The approaches of some development economists who have dealt with similar issues were also instrumental in drawing attention to the significance of the long-neglected concept of needs. (shrink)
Certain segments of science are becoming increasingly commercialized. This article discusses the commercialization of academic science and its impact on various aspects of science. It also aims to provide an introduction to the articles in this special issue. I briefly describe the major factors that led to this phenomenon, situate it in the context of the changing social regime of science and give a thumbnail sketch of its costs and benefits. I close with a general discussion of how the topic (...) of commercialization of academic science is relevant to science education. (shrink)
Recent philosophical studies of probabilistic causation and statistical explanation have opened up the possibility of unifying philosophical approaches with causal modeling as practiced in the social and biological sciences. This unification rests upon the statistical tools employed, the principle of common cause, the irreducibility of causation to statistics, and the idea of causal process as a suitable framework for understanding causal relationships. These four areas of contact are discussed with emphasis on the relevant aspects of causal modeling.
Drawing on the recent revisionary scholarship regarding logical positivism and its relation to the early post-positivism, I display and question the standard historical understanding of the analytical philosophy of science from the late 1920s to the mid-1970s. I then propose an alternative account based on the internal-external distinction. I conclude by showing some advantages of my alternative narrative that does more justice to the logical positivism than the standard understanding and suggest some further lines of research that it opens up.
I argue that Nancy Cartwright's largely methodological arguments for capacities and against Hume's regularity account of causation are only partially successful. They are especially problematic in establishing the primacy of singular causation and the reality of mixed-dual capacities. Therefore, her arguments need to be supported by ontological ones, and I propose the propensity interpretation of causal probabilities as a natural way of doing this.