This paper presents the results of an empirical study following up on Mizrahi (2021). Using the same methods of text mining and corpus analysis used by Mizrahi (2021), we test empirically a philosophical account of scientific progress that Mizrahi (2021) left out of his empirical study, namely, the so-called functional-internalist account of scientific progress according to which the aim or goal or scientific research is to solve problems. In general, our results do not lend much empirical evidence in support of (...) the problem-solving model of scientific progress over the other philosophical accounts of scientific progress (namely, the epistemic, noetic, and semantic accounts of scientific progress) tested in Mizrahi (2021) and in this follow-up study. Of all the subjects in the JSTOR database we have tested in this study, however, Mathematics is an interesting exception as far as the problem-solving model of scientific progress is concerned. For, in Mathematics alone, we have found that there is significantly more talk of the aims and/or goals of research in terms of solutions than in terms of truth, knowledge, or understanding. (shrink)

So far, various approaches have been proposed to explain the progress of science. These approaches, which fall under a fourfold classification, are as follows: semantic, functional, epistemic, and noetic approaches. Each of these approaches, based on the intended purpose of science, defines progress on the same basis. The semantic approach defines progress based on the approximation to the truth, the functional approach based on problem-solving, the epistemic approach based on knowledge accumulation, and the noetic approach based on increased understanding. With (...) a stratified description of the world, Roy Bhaskar sees science as the movement toward deeper layers aimed at discovering productive mechanisms. He also explains progress based on the layering and acquisition of knowledge of the underlying layers. But because he believes in the social nature of science and considers knowledge a social product and subject to change, he acknowledges the fallibility of cognition. Hence, it is believed that moving to a new layer does not necessarily lead to the progress of science. However, it is possible that by acquiring knowledge about the new layer, our previous knowledge will be revised and corrected. In this article, while expressing the Bhaskar theory of scientific progress and explaining its contingency with respect to the fallibility of cognition, we pursue a basic goal. This goal is summarized in the review of all four approaches in order to show their lack of attention to the fallibility of cognition and its effect on explaining progress. What has been done in this article is based on two phases: explaining the contingency of the progress of science for Bhaskar and examining the four approaches to the progress of science in order to show their inattention to the fallibility of cognition. In his philosophy, referring to the two dimensions of transitive and intransitive, Roy Bhaskar considers the purpose of science to be the acquisition of knowledge about intransitive objects, and this knowledge is achieved through a social activity. Since this cognition is a social product and belongs to the transitive dimension of science, it will be fallible and subject to change. Bhaskar concludes with philosophical arguments that the world contains generative mechanisms, but that it is the task of science to discover their nature and exactly what mechanisms are at work. This requires work in two theoretical dimensions, namely the use of conceptual tools and a practical dimension, that is, the use of experimental tools. Now, as the theoretical and technical conditions under which cognition is formed and evaluated are themselves expanding and subject to change and modification, our knowledge may also be expanded or corrected. In this study, it was found that the semantic approach is unaware of the effect of fallibility on the evidence used to estimate the approximation to the truth and, consequently, progress. The functional approach ignores this effect in solving the problems posed by theories. The epistemic approach does not take into account the fallibility of evidence used to justify and validate the evidence, and finally, the noetic approach neglects the effect of the fallibility on what the explanation and prediction are based on. These have led to these approaches, which consider the satisfaction of the criteria in question necessarily leads to progress. (shrink)

The notion of understanding occupies an increasingly prominent place in contemporary epistemology, philosophy of science, and moral theory. A central and ongoing debate about the nature of understanding is how it relates to the truth. In a series of influential contributions, Catherine Elgin has used a variety of familiar motivations for antirealism in philosophy of science to defend a non- factive theory of understanding. Key to her position are: (i) the fact that false theories can contribute to the upwards trajectory (...) of scientific understanding, and (ii) the essential role of inaccurate idealisations in scientific research. Using Elgin’s arguments as a foil, I show that a strictly factive theory of understanding has resources with which to offer a unified response to both the problem of idealisations and the role of false theories in the upwards trajectory of scientific understanding. Hence, strictly factive theories of understanding are viable notwithstanding these forceful criticisms. (shrink)

The aim of this paper is to contribute to the debate over the nature of scientific progress in philosophy of science by taking a quantitative, corpus-based approach. By employing the methods of data science and corpus linguistics, the following philosophical accounts of scientific progress are tested empirically: the semantic account of scientific progress, the epistemic account of scientific progress, and the noetic account of scientific progress. Overall, the results of this quantitative, corpus-based study lend some empirical support to the epistemic (...) and the noetic accounts over the semantic account of scientific progress, for they suggest that practicing scientists use the terms ‘knowledge’ and ‘understanding’ significantly more often than the term ‘truth’ when they talk about the aims or goals of scientific research in their published works. But the results do not favor the epistemic account over the noetic account, or vice versa, for they reveal no significant differences between the frequency with which practicing scientists use the terms ‘knowledge’ and ‘understanding’ when they talk about the aims or goals of scientific research in their published works. (shrink)

This discussion note aims to show that Moti Mizrahi does not make clear whether the proponents of the semantic view of scientific progress reject or accept the inference rule of Addition. If they reject the rule, then it does not make sense that Mizrahi contrives different types of disjuncts ‘on behalf of’ proponents of the semantic view. If they accept the rule, then the characterisation of the semantic view that Mizrahi discusses has nothing to do with the supposedly arbitrariness of (...) scientific progress, as Mizrahi contends. (shrink)

In a recent paper in this journal, entitled ‘Scientific Progress: Why Getting Closer to Truth is Not Enough’ (2017), Moti Mizrahi argues that the view of progress as approximation to the truth or increasing verisimilitude is plainly false. The key premise of his argument is that on such a view of progress, in order to get closer to the truth one only needs to arbitrarily add a true disjunct to a hypothesis or theory. Since quite clearly scientific progress is not (...) a matter of adding true disjuncts to theories, the argument goes, the view of progress as approximation to the truth is untenable. We show that the key premise of Mizrahi’s argument is false: according to verisimilitude-based accounts of progress, adding arbitrary true disjuncts to existing theories is just not enough to get closer to the truth. (shrink)