According to Kuhn's speciation analogy, scientific specialisation is fundamentally analogous to biological speciation. In this paper, we extend Kuhn's original language-centred formulation of the speciation analogy, to account for episodes of scientific specialisation centred around methodological differences. Building upon recent views in evolutionary biology about the process of speciation by genetic divergence, we will show how these methodology-centred episodes of scientific specialisation can be understood as cases of specialisation driven by value divergence. We will apply our model of specialisation by (...) value divergence to an episode of methodology-centred scientific specialisation: the emergence of molecular biology. (shrink)

This paper contributes to the ongoing reassessment of the controversy between William Bateson and Karl Pearson by characterising what we call “Batesonian Mendelism” and “Pearsonian biometry” as coherent and competing scientific outlooks. Contrary to the thesis that such a controversy stemmed from diverging theoretical commitments on the nature of heredity and evolution, we argue that Pearson’s and Bateson’s alternative views on those processes ultimately relied on different appraisals of the methodological value of the statistical apparatus developed by Francis Galton. Accordingly, (...) we contend that Bateson’s belief in the primacy of cross-breeding experiments over statistical analysis constituted a minimal methodological unifying condition ensuring the internal coherence of Batesonian Mendelism. Moreover, this same belief implied a view of the study of heredity and evolution as an experimental endeavour and a conception of heredity and evolution as fundamentally discontinuous processes. Similarly, we identify a minimal methodological unifying condition for Pearsonian biometry, which we characterise as the view that experimental methods had to be subordinate to statistical analysis, according to methodological standards set by biometrical research. This other methodological commitment entailed conceiving the study of heredity and evolution as subsumable under biometry and primed Pearson to regard discontinuous hereditary and evolutionary processes as exceptions to a statistical norm. Finally, we conclude that Batesonian Mendelism and Pearsonian biometry represented two potential versions of a single genetics-based evolutionary synthesis since the methodological principles and the phenomena that played a central role in the former were also acknowledged by the latter—albeit as fringe cases—and conversely. (shrink)

Scientific revolution has been one of the most controversial topics in the history and philosophy of science. Yet it has been no consensus on what is the best unit of analysis in the historiography of scientific revolutions. Nor is there a consensus on what best explains the nature of scientific revolutions. This chapter provides a critical examination of the historiography of scientific revolutions. It begins with a brief introduction to the historical development of the concept of scientific revolution, followed by (...) an overview of the five main philosophical accounts of scientific revolutions. It then challenges two historiographical assumptions of the philosophical analyses of scientific revolutions. (shrink)

The Rise of Chance in Evolutionary Theory: A Pompous Parade of Arithmetic explores a pivotal conceptual moment in the history of evolutionary theory: the development of its extensive reliance on a wide array of concepts of chance. It tells the history of a methodological and conceptual development that reshaped our approach to natural selection over a century, ranging from Darwin’s earliest notebooks in the 1830s to the early years of the Modern Synthesis in the 1930s. Far from being a “pompous (...) parade of arithmetic,” as one early critic argued, evolution transformed during this period to make these conceptual and technical tools indispensable. This book charts the role of chance in evolutionary theory from its beginnings to the earliest days of modern evolutionary theory, making it an ideal resource for evolutionary biologists, historians, philosophers, and researchers in science studies or biological statistics. (shrink)

Recently there has been an increasing interest in metaphilosphy. The aim of philosophy has been examined. The development of philosophy has also been scrutinised. With the development of new approaches and methods, new problems arise. This collection revisits some of the metaphilosophical issues, including philosophical progress and the aim of philosophy. It sheds new light on some old approaches, such as naturalism and ordinary language philosophy. It also explores new philosophical methods (e.g., digital philosophy of science, conceptual engineering, and the (...) practice-based approach to logic) and their prospects. (shrink)

Bird’s new book, Knowing Science, provides an exemplar of how to do epistemology and philosophy of science together. While I wholeheartedly appreciate his attempt to bridge the gap between epistemology and philosophy of science and find his project promising, I am not convinced by the central thesis of the book that knowledge plays a central role in science. In this article, I focus on Bird’s epistemic account of scientific progress, which is the view that the nature of scientific progress is (...) the accumulation of scientific knowledge. Contra Bird, I argue that scientific progress cannot be fully characterised as the accumulation of scientific knowledge. (shrink)

Recent philosophical literature has turned its attention towards assessments of how to judge scientific proposals as worthy of further inquiry. Previous work, as well as papers contained within this special issue, propose criteria for pursuitworthiness (Achinstein, 1993; Whitt, 1992; DiMarco & Khalifa, 2019; Laudan, 1977; Shan, 2020; Šešelja et al., 2012). The purpose of this paper is to assess the grounds on which pursuitworthiness demands can be legitimately made. To do this, I propose a challenge to the possibility of even (...) minimal criteria of pursuitworthiness, inspired by Paul Feyerabend. I go on to provide a framework for identifying the contexts in which pursuitworthiness criteria may promote the efficiency of scientific inquiry. I then spell out some implications this framework has for values and pursuit. (shrink)

Historiographical analyses of the development of genetics in the first decade of the 20th century have been to a great extent framed in the context of the Mendelian-Biometrician controversy. Much has been discussed on the nature, origin, development, and legacy of the controversy. However, such a framework is becoming less useful and fruitful. This paper challenges the traditional historiography framed by the Mendelian-Biometrician distinction. It argues that the Mendelian-Biometrician distinction fails to reflect the theoretical and methodological diversity in the controversy. (...) It also argues that that the Mendelian-Biometrician distinction is not helpful to make a full understanding of the development of genetics in the first decade of the twentieth century. (shrink)

Thomas Kuhn (1922-1996) is widely considered as one of the most important philosophers of science of the 20th century, while his The Structure of Scientific Revolutions (SSR) is regarded as one of the most influential works in the philosophy ofscience. At the same time, however, his place within philosophy of science remains ambiguous. On the one hand, despite the popularity of SSR, there is no proper ‘Kuhnian school of thought’ in HPS. On the other hand, the interest towards Kuhn does (...) not seem to fade away and the number of publications about his work does not seem to decrease. We suggest that there are at least three different ways to go ‘beyond SSR’: (i) by scrutinising the development of Kuhn’s thought, from his pre- to his post-SSR writings; (ii) by contextualising Kuhn in the philosophical milieu of his time, thus interpreting his view as emerging from the intellectual exchanges he had with contemporary philosophers; (iii) by reinterpreting and developing some of his most known ideas, in ways that perhaps Kuhn himself was not able to contemplate. (shrink)

The idea of ‘reversion’ or ‘atavism’ has a peculiar history. For many authors in the latenineteenth and early-twentieth centuries – including Darwin, Galton, Pearson, Weismann, and Spencer, among others – reversion was one of the central phenomena which a theory of heredity ought to explain. By only a few decades later, however, Fisher and others could look back upon reversion as a historical curiosity, a non-problem, or even an impediment to clear theorizing. I explore various reasons that reversion might have (...) appeared to be a central problem for this first group of figures, focusing on their commitment to a variety of conceptual features of evolutionary theory; discuss why reversion might have then ceased to be an interesting phenomenon; and, finally, close with some more general thoughts about the death of scientific problems. (shrink)

One claim found in the received historiography of the biometrical school (comprised primarily of Francis Galton, Karl Pearson, and W. F. R. Weldon) is that one of the biometricians' great flaws was their inability to look past their population-focused, statistical, gradualist understanding of evolutionary change – which led, in part, to their ignoring developments in cellular biology around 1900. I will argue, on the contrary, that the work of the biometricians was, from its earliest days, fundamentally concerned with connections between (...) statistical patterns of inheritance and the underlying cellular features that gave rise to them. Such work remained current with contemporary knowledge of chromosomes, cytology, and development; in this article, I explore the first case. The biometricians were thus well positioned to understand the relationship between the patterns of Mendelian inheritance and the statistical distributions with which they primarily occupied themselves. Ignorance of this connection, then, is not the reason why they rejected Mendelism. Further, both Galton and Weldon – though each in their own unique way – decided to turn to biological detail as a way to better justify the generality of their statistical approaches to heredity. Perhaps paradoxically, then, for these biometricians, detail offered an approach to theoretical generality. (shrink)

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)

A prevalent narrative locates the discovery of the statistical phenomenon of regression to the mean in the work of Francis Galton. It is claimed that after 1885, Galton came to explain the fact that offspring deviated less from the mean value of the population than their parents did as a population-level statistical phenomenon and not as the result of the processes of inheritance. Arguing against this claim, we show that Galton did not explain regression towards mediocrity statistically, and did not (...) give up on his ideas regarding an inheritance process that caused offspring to revert to the mean. While the common narrative focuses almost exclusively on Galton’s statistics, our arguments emphasize the anthropological and biological questions that Galton addressed. Galton used regression towards mediocrity to support the claim that some biological types were more stable than others and hence were resistant to evolutionary change. This view had implications concerning both natural selection and eugenics. The statistical explanation attributed to Galton appeared later, during the biometrician-mutationist debate in the early 1900s. It was in the context of this debate and specifically by the biometricians, that the development of the statistical explanation was originally attributed to Galton. (shrink)

The aim of this master’s thesis is to analyse and highlight the interaction between science, politics and law. More precisely, our research question concerns the use of scientific arguments in social spheres (notably in politics and law) instead of legal or political arguments. In fact, we want to raise the way in which certain actors invoke scientific arguments to impose "objective" elements of fact in debate and, in this way, refrain from politically and "subjectively" discussing these same elements (or, at (...) least, their social consequences). This Master’s thesis will adopt an interdisciplinary theoretical framework (chapter 1) mobilising philosophy of science, philosophy of law, sociology of law, legal technique and analytical theories. Then, we will apply it to a case study: the European regulation of genetically modified organisms (GMOs) after the European Court of Justice (CJEU) ruling of 25 July 2015 (chapter 2). The first chapter will provide theoretical elements to rethink the interaction between science, politics and law. The first section will propose a 'state of the art’ of the philosophical literature on the relationship between science (as a regime of truth) and politics. This master’s thesis will assess a truth under construction rather than a transcendental truth. Section 2 anticipates authoritarian claims based on science by considering the relationship science can have with power (Foucault). A solid review of philosophical, sociological and legal literature highlights the risks of giving decision-making power to an all-powerful science. Notably, the use of science to justify discriminatory policies is emphasised as these policies could not be challenged because, at the time, it was considered an objective scientific truth. Finally, section 3 offers a critique of the narratives of neutral and objective science, through the approach of science in action. This sociological approach presented all the doubts and subjectivity of science in action. The second chapter will propose a case study to illustrate the theoretical framework. We have chosen GMOs because they constitute a hybrid 'event', marked by scientific controversies, and with major socio-economic implications. The legal framework of GMOs in the European Union will be presented in the first section. In addition, the legal status of new breeding techniques (NBTs) will be examined. The second section will analyse the ruling of the European Court of Justice which made NBTs subject to GMO regulation. Finally, the third section will propose a reflection on the philosophy of law on the modes of existence of scientific, legal and political disciplines. (shrink)

In this chapter, we discuss a specific kind of progress that occurs in most branches of economics today: progress involving the repeated use of mathematical models. We adopt a functional account of progress to argue that progress in economics occurs through the use of what we call “common recipes” and model templates for defining and solving problems of relevance for economists. We support our argument by discussing the case of 20th century business cycle research. By presenting this case study in (...) detail, we show how model templates are not only reapplied to different phenomena. We also show how scientists first develop them and how, once they are considered less useful, they are replaced with new ones. Finally, our case also illustrates that it is not only the mathematical structure that is reused but that such reuse also requires a shared conceptual vision of the core properties of the phenomenon to be studied. If that vision is no longer shared among economists, a model template can become useless and has to be replaced, sometimes against resistance, with a different one. (shrink)

Scientific progress is a hot topic in the philosophy of science. However, as yet we lack a comprehensive philosophical examination of scientific progress. First, the recent debate pays too much attention to the epistemic approach and the semantic approach. Shan’s new functional approach and Dellsén’s noetic approach are still insufficiently assessed. Second, there is little in-depth analysis of the progress in the history of the sciences. Third, many related philosophical issues are still to be explored. For example, what are the (...) implications of scientific progress for the scientific realism/antirealism debate? Is the incommensurability thesis a challenge to scientific progress? What role does aesthetic values play in scientific progress? Does idealisation impede scientific progress? This book fills this gap. It offers a new assessment of the four main approaches to scientific progress (Part I). It also features eight historical case studies to investigate the notion of progress in different disciplines: physics, chemistry, evolutionary biology, seismology, psychology, sociology, economics, and medicine respectively (Part II). It discusses some issues related to scientific progress: scientific realism, incommensurability, values in science, idealisation, scientific speculation, interdisciplinarity, and scientific perspectivalism (Part III). (shrink)

The functional approach to scientific progress has been mainly developed by Kuhn, Lakatos, Popper, Laudan, and more recently by Shan. The basic idea is that science progresses if key functions of science are fulfilled in a better way. This chapter defends the function approach. It begins with an overview of the two old versions of the functional approach by examining the work of Kuhn, Laudan, Popper, and Lakatos. It then argues for Shan’s new functional approach, in which scientific progress is (...) defined as an increase of usefulness of exemplary practices. (shrink)

It has been widely received that one of Gregor Mendel’s most important contributions to the history of genetics is his novel work on developmental information (for example, the proposal of the famous Mendelian ratios like 1:2:1, 3:1, and 9:3:3:1). This view is well evidenced by the fact that much of early Mendelians’ work in the 1900s focuses on the retrodiction (viz. the re-analysis of the pre-exist data with Mendel’s approach). However, there is no consensus on what Mendel meant by development (...) (Entwicklung). Nor is there an agreement on the interpretation of Mendel’s laws of developmental series (Entwicklungsreihe). This chapter revisits Mendel’s notions of development and developmental series. Firstly, I argue that Mendel’s use of development is greatly influenced by Gärtner’s. Secondly, I show Mendel’s work on developmental series are novel and important for its new ways of experimentation, conceputalisation, and analysis. Thirdly, I argue that Mendel’s laws of developmental information were not about heredity. (shrink)

Prosper Lucas (1808–1885) is a unique figure in the history of psychiatric genetics. A physician-alienist, he authored one of the most important books on human genetics in the mid-19th century cited frequently by Darwin: the 1,500 page treatise—Philosophical and Physiological Treatise on Natural Heredity (1847–1850). This book contained a novel theory of the nature of inheritance and a detailed review of the heredity of a range of human traits and disorders, including various forms of insanity. Lucas postulated four forms of (...) heredity (direct, crossed, indirect, and atavistic), supported the importance of hereditary factors in insanity, accepted the inheritance of acquired characteristics, considered it important to examine both ancestors and collateral relatives, and recognized that heredity could influence both primary insanity and insanity secondary to other medical conditions. He reviewed the then available literature on most major forms of insanity including separate sections on hallucinations and suicidal monomania. The literature consisted of case reports of unusual families with high concentrations of illness. Lucas advocated for the homogeneity of transmission of forms of illness in families but recognized that—just as the form of illness could evolve within individuals over time—it could change forms when transmitted between relatives. (shrink)

The history of science is often understood as a succession of theories. However, this conception of the history of science does not do justice to the complexity of the dynamics implemented in scientific development. To illustrate this, we focus on a type of phenomena that cannot be described as a simple linear succession : the desuetude of certain theories and particularly the temporary desuetude of the theory of neuroplasticity. We argue that studying this theory reveals some of the inadequacies of (...) the linear conception of the history of science. (shrink)

The knowledge of the history of a subject stimulates understanding. As we study how other people have made scientific breakthroughs, we develop the breadth of imagination that would inspire us to make new discoveries of our own. This perspective certainly applies to the teaching of genetics as hallmarked by the pea experiments of Mendel. Common questions students have in reading Mendel’s paper for the first time is how it compares to other botanical, agricultural, and biological texts from the early and (...) mid-nineteenth centuries; and, more precisely, how Mendel’s approach to, and terminology for debating, topics of heredity compare to those of his contemporaries? Unfortunately, textbooks are often unavailing in answering such questions. It is very common to find an introduction about heredity in genetic textbooks covering Mendel without mentions of preceding breeding experiments carried out in his alma mater. This does not help students to understand how Mendel came to ask the questions he did, why he did, or why he planned his pea studies the way he did. Furthermore, the standard textbook “sketch” of genetics does not allow students to consider how discoveries could have been framed and inspired so differently in various parts of the world within a single historical time. In our review we provide an extended overview bridging this gap by showing how different streams of ideas lead to the eventual foundation of particulate inheritance as a scientific discipline. We close our narrative with investigations on the origins of animal and plant breeding in Central Europe prior to Mendel in Kőszeg and Brno, where vigorous debates touched on basic issues of heredity from the early eighteenth-century eventually reaching a pinnacle coining the basic questions: What is inherited and how is it passed on from one generation to another? (shrink)

One of the studies in the physics education curriculum at the undergraduate level is the philosophy of science (POS). This study aims to analyse the university students' understanding of the concept of epistemology, ontology, and axiology. As the situation of COVID-19 pandemic, an online survey design was utilised in this research. The participants included 89 students who were majoring in Physics Education at a public university in Surabaya Indonesia. In the duration of the Spring Semester 2020, the research was conducted (...) by giving an online test containing statements with a value range of one to ten and a questionnaire with one to five Likert scale. The data obtained were then analysed using quantitative descriptive analysis techniques and an exploratory factor analysis (EFA) to achieve the results of the students' perception of the philosophy of science. The findings indicated it was about 22% of the total participants had a lack of understanding of epistemological studies. Meanwhile, a total of 14.3% of them had a lack of understanding of the concept of ontology. The best result was the understanding of the concept of axiology, the physics education students achieved 91.2% in a good level. Turning to the result of EFA, it stated all items developed to measure the factor behind the structure scale with loading factor more than 0.4 with the overall reliability of more than .80. These findings provide an additional treasure of previous knowledge that rarely explores the concept of epistemology, ontology, and axiology in a specific manner. (shrink)