Abstract
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.
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Notes
Many thanks to an anonymous reviewer for pressing on this point.
The phrase “basic unit of scientific progress” is Laudan’s phrase. According to Laudan’s (1977, 66) problem-solving model, “the solved problem–empirical or conceptual–is the basic unit of scientific progress.” This phrase is not to be confused with Chang’s (2012, 1) use of the phrase “unit of analysis.” Many thanks to an anonymous reviewer for pressing on this point.
As an anonymous reviewer rightly points out, however, there are non-axiological accounts of scientific progress. See, e.g., Shan (2020). See also Mizrahi (2020, 148–151) on evolutionary (and hence, non-directional) accounts of progress in science. For an argument against talk of the “aim of science” in philosophy of science, see Rowbottom (2014).
Cf. Rosen (1994).
The corpus-based methods used in this empirical study are not the only way to test philosophical accounts of scientific progress empirically. Another way to test such accounts empirically is the questionnaire-based methods of experimental philosophy. See, e.g., Mizrahi and Buckwalter (2014). In that respect, it should be noted that some parties to the scientific progress debate in philosophy of science would object to testing philosophical accounts of scientific progress empirically. For example, according to Niiniluoto (2019), “Mizrahi’s (2013) empirical observation that scientists talk about the aim of science in terms of knowledge rather than merely truth cannot settle the philosophical debate about scientific progress”.
For a more detailed discussion of this methodology, see Mizrahi (2021).
Thanks to the anonymous reviewer for raising this question.
For a detailed discussion of Kuhn’s argument, see Mizrahi (2020, 115–119).
As we discussed in Sect. 1, Laudan (1977) developed Kuhn’s (1962/1996, 36–38) discussion of “puzzle-solving” in science into “a problem-solving model of progress” (Laudan 1977, 66). In that respect, then, it is worth mentioning Aberdein’s (2018) discussion of Kuhnian revolutions in Mathematics. It should also be noted, however, that some might think of the question of scientific progress in philosophy of science as a question about the empirical sciences primarily. Since Mathematics is not an empirical science, one could argue that progress in Mathematics would be very different from progress in the empirical sciences. This is indeed what the results of this empirical study suggest. That is, only in Mathematics, we find 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. Many thanks to an anonymous reviewer for pressing on this point.
According to Hamami and Morris (2020, 1121), mathematicians want “their proofs to be explanatory or beautiful and their solutions pure” (italics added). As Detlefsen and Arana (2011, 1) explain, “a pure proof or solution is one which uses only such means as are in some sense intrinsic to (a proper understanding of) a theorem proved or a problem solved” (italics in original).
References
Aberdein, A. 2018. Redefining Revolutions. In The Kuhnian Image of Science: Time for a Decisive Revolution?, ed. M. Mizrahi, 133–154. London: Rowman & Littlefield.
Bird, A. 2007. What is Scientific Progress? Noûs 41(1): 64–89.
Bird, A. 2008. Scientific Progress as Accumulation of Knowledge: A Reply to Rowbottom. Studies in History and Philosophy of Science Part A 39(2): 279–281.
Cevolani, G., and L. Tambolo. 2013. Progress as Approximation to the Truth: A Defence of the Verisimilitudinarian Approach. Erkenntnis 78(4): 921–935.
Cevolani, G., and L. Tambolo. 2019. Why Adding Truths Is Not Enough: A Reply to Mizrahi on Progress as Approximation to the Truth. International Studies in the Philosophy of Science 32(2): 129–135.
Chang, H. 2012. Is Water H2O? Evidence, Realism and Pluralism. Dordrecht: Springer.
Dellsén, F. 2016. Scientific progress: Knowledge versus understanding. Studies in History and Philosophy of Science Part A 56: 72–83.
Dellsén, F. 2018a. Scientific Progress, Understanding, and Knowledge: Reply to Park. Journal for General Philosophy of Science 49(3): 451–459.
Dellsén, F. 2018b. Scientific Progress: Four Accounts. Philosophy. Compass 13(11): e12525.
Detlefsen, M., and A. Arana. 2011. Purity of Methods. Philosophers’ Imprint 11(2): 1–20.
Douglas, H. 2014. Pure Science and the Problem of Progress. Studies in History and Philosophy of Science Part A 46: 55–63.
Hamani, Y., and R.L. Morris. 2020. Philosophy of Mathematical Practice: A Primer for Mathematics Educators. ZDM 52(6): 1113–1126.
Hettema, H., and T. Kuipers. 1995. Sommerfeld’s Atombau: A Case Study in Potential Truth Approximation. In Cognitive Patterns in Science and Common Sense, ed. T. Kuipers and A.N. Mackor, 272–297. Amsterdam: Rodopi.
Kieseppä, I.A. 1996. Truthlikeness for Multidimensional, Quantitative Cognitive Problems. Dordrecht: Kluwer.
Kuhn, T.S. 1962/1996. The Structure of Scientific Revolutions. Third Edition. Chicago: The University of Chicago Press.
Laudan, L. 1977. Progress and Its Problems: Towards a Theory of Scientific Growth. Berkeley: University of California Press.
Mizrahi, M. 2013. What is Scientific Progress? Lessons from Scientific Practice. Journal for General Philosophy of Science 44(2): 375–390.
Mizrahi, M. 2017. Scientific Progress: Why Getting Closer to Truth Is Not Enough. International Studies in the Philosophy of Science 31(4): 415–419.
Mizrahi, M. 2020. The Relativity of Theory: Key Positions and Arguments in the Contemporary Scientific Realism/Antirealism Debate. Cham: Springer.
Mizrahi, M. 2021. Conceptions of Scientific Progress in Scientific Practice: An Empirical Study. Synthese 199(1–2): 2375–2394.
Mizrahi, M., and W. Buckwalter. 2014. The Role of Justification in the Ordinary Concept of Scientific Progress. Journal for General Philosophy of Science 45(1): 151–166.
Niiniluoto, I. 1984. Is Science Progressive? Dordrecht: D. Reidel.
Niiniluoto, I. 1999. Critical Scientific Realism. Oxford: Oxford University Press.
Niiniluoto, I. 2014. Scientific Progress as Increasing Verisimilitude. Studies in History and Philosophy of Science Part A 46: 73–77.
Niiniluoto, I. 2017. Optimistic Realism about Scientific Progress. Synthese 194(9): 3291–3309.
Niiniluoto, I. 2019. Scientific Progress. In Stanford Encyclopedia of Philosophy, ed. E.N. Zalta (Winter 2019 Edition). https://plato.stanford.edu/archives/win2019/entries/scientific-progress/.
Park, S. 2017. Does Scientific Progress Consist in Increasing Knowledge or Understanding? Journal for General Philosophy of Science 48(4): 569–579.
Park, S. 2020. Scientific Understanding, Fictional Understanding, and Scientific Progress. Journal for General Philosophy of Science 51(1): 173–184.
Pitt, J. C. 2001. The dilemma of case studies: Toward a heraclitian philosophy of science. Perspectives on Science 9(4): 373–382.
Rosen, G. 1994. What is Constructive Empiricism? Philosophical Studies 74(2): 143–178.
Rouse, J. 2007. Naturalism and Scientific Practices: A Concluding Scientific Postscript. In Naturalized Epistemology and Philosophy of Science, ed. C.M. Mi and R.L. Chen, 61–86. Amsterdam: Rodopi.
Rowbottom, D.P. 2008. N-rays and the Semantic View of Scientific Progress. Studies in History and Philosophy of Science Part A 39(2): 277–278.
Rowbottom, D.P. 2010. What Scientific Progress Is Not: Against Bird’s Epistemic View. International Studies in the Philosophy of Science 24(3): 241–255.
Rowbottom, D.P. 2014. Aimless Science. Synthese 191(6): 1211–1221.
Rowbottom, D.P. 2015. Scientific Progress without Increasing Verisimilitude. In Response to Niiniluoto. Studies in History and Philosophy of Science Part A 51: 100–104.
Sendov, B., and H. Sendov. 2014. Loci of Complex Polynomials, Part I. Transactions of the American Mathematical Society 366(1): 5155–5184.
Shan, Y. 2019. A New Functional Approach to Scientific Progress. Philosophy of Science 86(4): 739–758.
Shan, Y. 2020. Doing Integrated History and Philosophy of Science: A Case Study of the Origin of Genetics. Cham: Springer.
Van Fraassen, B.C. 1980. The Scientific Image. Oxford: Clarendon Press.
Van Fraassen, B.C. 1994. Gideon Rosen on Constructive Empiricism. Philosophical Studies 74(2): 179–192.
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I am very grateful to two anonymous reviewers of the Journal for General Philosophy of Science for their helpful comments on earlier drafts of this paper.
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Mizrahi, M. What Is the Basic Unit of Scientific Progress? A Quantitative, Corpus-Based Study. J Gen Philos Sci 53, 441–458 (2022). https://doi.org/10.1007/s10838-021-09576-0
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DOI: https://doi.org/10.1007/s10838-021-09576-0