This paper argues for two related theses. The first is that mathematical abstraction can play an important role in shaping the way we think about and hence understand certain phenomena, an enterprise that extends well beyond simply representing those phenomena for the purpose of calculating/predicting their behaviour. The second is that much of our contemporary understanding and interpretation of natural selection has resulted from the way it has been described in the context of statistics and mathematics. I argue for these (...) claims by tracing attempts to understand the basis of natural selection from its early formulation as a statistical theory to its later development by R.A. Fisher, one of the founders of modern population genetics. Not only did these developments put natural selection of a firm theoretical foundation but its mathematization changed the way it was understood as a biological process. Instead of simply clarifying its status, mathematical techniques were responsible for redefining or reconceptualising selection. As a corollary I show how a highly idealised mathematical law that seemingly fails to describe any concrete system can nevertheless contain a great deal of accurate information that can enhance our understanding far beyond simply predictive capabilities. (shrink)

Recent arguments for scientific realism have emphasized the importance of both methodological factors, such as theoretical unification , and experiments , as evidence for a realistic view of certain aspects of theoretical structure . Throughout this dissertation I argue that neither strategy is sufficient as a defense of realism. ;Chapter one consists of a discussion of Friedman's argument for realism as outlined in his Foundations of Space-Time Theories . I argue that his reliance on theoretical unification and conjunction as grounds (...) for a selective brand of realism is unsatisfactory for a variety of reasons. Not only does his structure-substructure reductivist model of theories and the emphasis on conjunction fail to fit actual cases of theory evolution, but the historical relativity built into the approach is undesirable even from a realist perspective. The relationship between conjunctive inference and unification is discussed and it is suggested that although theoretical unification is desirable at some stages of theory development it contributes nothing to the justification or evidential warrant of theories. ;In chapter two my claims regarding unification are applied to the development of Maxwell's electromagnetic theory. I discuss the difficulties in specifying a workable model of the aether as the unifying theoretical structure as well as the importance of models and analogies in Maxwell's work. It is argued that this obvious unification of electromagnetism and optics played virtually no evidential role in the final acceptance of the theory. It was not until the completion of Hertz's experiments that Maxwell's theory was actually vindicated. ;Chapter three focuses on the experimental difficulties associated with Maxwell's theory and the relationship between Hertz's experiments and his theoretical interpretation of electromagnetism. ;In chapter four I summarize some of the general difficulties associated with the notion of independent evidence as it pertains to experimental results. I conclude by arguing that although experiment provides a more persuasive case for realism than methodological factors, in many instances it fails to provide the kind of epistemological justification required for the realist assumptions about the ontology of scientific theories. (shrink)

The book examines issues related to the way modeling and simulation enable us to reconstruct aspects of the world we are investigating. It also investigates the processes by which we extract concrete knowledge from those reconstructions and how that knowledge is legitimated.

This book is about the methods used for unifying different scientific theories under one all-embracing theory. The process has characterized much of the history of science and is prominent in contemporary physics; the search for a 'theory of everything' involves the same attempt at unification. Margaret Morrison argues that, contrary to popular philosophical views, unification and explanation often have little to do with each other. The mechanisms that facilitate unification are not those that enable us to explain how (...) or why phenomena behave as they do. A feature of this book is an account of many case studies of theory unification in nineteenth- and twentieth-century physics and of how evolution by natural selection and Mendelian genetics were unified into what we now term evolutionary genetics. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Human Goodness: Pragmatic Variations on Platonic ThemesCatherine E. MorrisonHuman Goodness: Pragmatic Variations on Platonic Themes by Paul Schollmeier Cambridge: Cambridge University Press, 2006. Pp. x + 302. $80.00, cloth.This is a book about spirits—human, godly, ghostly, and alcoholic. Paul Schollmeier's Human Goodness: Pragmatic Variations on Platonic Themes explores how humble humans act morally in an absurd world. Schollmeier contends that the Socratic spirit, or daimon, of self-knowledge and (...) hypothesis testing provides the foundation for a deeply human moral philosophy. It is, in Schollmeier's elegant phrasing, daimonic rather than eudaimonic, joining Aristotle and Plato with William James, as well as contributions from the ghosts of David Hume and Immanuel Kant and a few rounds of whiskey. Spirits abound! Mixing Socratic skepticism with Jamesian empiricism, Schollmeier argues that we act best when we apply general principles held as opinion (not as certain knowledge), and tested through experience, to our particular situation. When these opinions yield fruit, we find ourselves less at the whim of our capricious surroundings; when they do not, we are obliged to recognize the provisional nature of our opinions and change them. The ends of these day-to-day activities reflect a far grander cosmological order, one we ignore to our mortal (and moral) peril. It is by engaging in this intellectual activity that we are made happy, and it is in measured pursuit of this happiness that we are virtuous. Our actions are neither absolutely true nor perfect. They are instead the best that we can do. And for a reviewer attempting to encapsulate a finely nuanced book in a small space, this is comforting advice indeed. [End Page 190]The book begins with a puzzle: The curious twin claims in Plato's Apology that, true to the Delphic oracle's proclamation, Socrates is both wise and knows nothing. The key to this apparent paradox, Schollmeier contends, is the difference between divine knowledge, "ultimate, nonhypothetical knowledge of final causes" (6), and human knowledge, which is hypothetical only. Schollmeier marshals William James to argue that as humans, we encounter objects of knowledge perceptually; even our concepts are fashioned from this meager material. Without access to divine knowledge, humans must test hypotheses and assume that they are true only provisionally.James's (and Hume's) emphasis on the passions as the foundation for action, however, gives Schollmeier pause. In order to construct a moral philosophy that avoids absolutism but remains objective, Schollmeier argues for a harmony between the intellectual and the passional that is ultimately rational, our Socratic daimon. We are neither gods nor animals. Should we surrender rationality to desire, Schollmeier warns in concert with Socrates, our already fragile perceptual knowledge will be further distorted by fickle emotion. It is precisely because our grasp on the world is so tenuous that we must pay heed to cool intellect rather than hot passion.Such skepticism of our claim to know might make one hesitant to engage in the enigmatic world—but we have no choice! In order to find our hybrid daimon, both Socratic and pragmatic, Schollmeier suggests rhetoric as the methodology best suited to serving practical knowledge because it eschews certainty in favor of probability and acknowledges that the hypotheses on which we act are tentative and revisable. To this end, Schollmeier highlights the enthymeme and argument by example as the two techniques that best suit the nature of our hypothetical knowledge, and he urges a return to philodoxy, the love of opinion.Giving up our claim to certainty need not be a dismal proposition. Having established his methodology, Schollmeier begins building a moral philosophy that embraces an ontology of change and contends that our happiness provides us with stability in the form of a rational teleology. The objects of our human happiness are fleeting and changeable, so happiness cannot be static but is, rather, an activity that is its own end, "an activity that is an intellectual inquiry" (78). Our happiness is contingent on our ability to hypothetically determine, in our particular setting, our function and then fulfill this role to the best of our abilities. Depending on the setting, it may be dancing, parenting, or simply a lively... (shrink)

The paper presents an argument for treating certain types of computer simulation as having the same epistemic status as experimental measurement. While this may seem a rather counterintuitive view it becomes less so when one looks carefully at the role that models play in experimental activity, particularly measurement. I begin by discussing how models function as “measuring instruments” and go on to examine the ways in which simulation can be said to constitute an experimental activity. By focussing on the connections (...) between models and their various functions, simulation and experiment one can begin to see similarities in the practices associated with each type of activity. Establishing the connections between simulation and particular types of modelling strategies and highlighting the ways in which those strategies are essential features of experimentation allows us to clarify the contexts in which we can legitimately call computer simulation a form of experimental measurement. (shrink)

This article examines ontological/dynamical aspects of emergence, specifically the micro-macro relation in cases of universal behavior. I discuss superconductivity as an emergent phenomenon, showing why microphysical features such as Cooper pairing are not necessary for deriving characteristic properties such as infinite conductivity. I claim that the difficulties surrounding the thermodynamic limit in explaining phase transitions can be countered by showing how renormalization group techniques facilitate an understanding of the physics behind the mathematics, enabling us to clarify epistemic and ontological aspects (...) of emergence. I close with a discussion of the impact of these issues for questions concerning natural kinds. (shrink)

The paper examines philosophical issues that arise in contexts where one has many different models for treating the same system. I show why in some cases this appears relatively unproblematic (models of turbulence) while others represent genuine difficulties when attempting to interpret the information that models provide (nuclear models). What the examples show is that while complementary models needn’t be a hindrance to knowledge acquisition, the kind of inconsistency present in nuclear cases is, since it is indicative of a lack (...) of genuine theoretical understanding. It is important to note that the differences in modeling do not result directly from the status of our knowledge of turbulent flows as opposed to nuclear dynamics—both face fundamental theoretical problems in the construction and application of models. However, as we shall, the ‘problem context(s)’ in which the modeling takes plays a decisive role in evaluating the epistemic merit of the models themselves. Moreover, the theoretical difficulties that give rise to inconsistent as opposed to complementary models (in the cases I discuss) impose epistemic and methodological burdens that cannot be overcome by invoking philosophical strategies like perspectivism, paraconsistency or partial structures. (shrink)

Morrison and Morgan argue for a view of models as 'mediating instruments' whose role in scientific theorising goes beyond applying theory. Models are partially independent of both theories and the world. This autonomy allows for a unified account of their role as instruments that allow for exploration of both theories and the world.

The authors surveyed hospitals across the country on their policies regarding overlapping surgery, and found large variation between hospitals in how this practice is regulated. Specifically, institutions chose to define “critical portions” in a variety of ways, ultimately affecting not only surgical efficiency but also the autonomy of surgical trainees and patient experiences at these different hospitals.

A limiting factor in ethics education in medical training has been difficulty in assessing competence in ethics. This study was conducted to test the concept that content analysis of pediatric residents’ personal reflections about ethics experiences can identify changes in ethical sensitivity and reasoning over time. Analysis of written narratives focused on two of our ethics curriculum’s goals: 1) To raise sensitivity to ethical issues in everyday clinical practice and 2) to enhance critical reflection on personal and professional values as (...) they affect patient care. Content analysis of written reflections was guided by a tool developed to identify and assess the level of ethical reasoning in eight domains determined to be important aspects of ethical competence. Based on the assessment of narratives written at two times (12 to 16 months/apart) during their training, residents showed significant progress in two specific domains: use of professional values, and use of personal values. Residents did not show decline in ethical reasoning in any domain. This study demonstrates that content analysis of personal narratives may provide a useful method for assessment of developing ethical sensitivity and reasoning. (shrink)

Although the recent emphasis on models in philosophy of science has been an important development, the consequence has been a shift away from more traditional notions of theory. Because the semantic view defines theories as families of models and because much of the literature on “scientific” modeling has emphasized various degrees of independence from theory, little attention has been paid to the role that theory has in articulating scientific knowledge. This paper is the beginning of what I hope will be (...) a redress of the imbalance. I begin with a discussion of some of the difficulties faced by various formulations of the semantic view not only with respect to their account of models but also with their definition of a theory. From there I go on to articulate reasons why a notion of theory is necessary for capturing the structure of scientific knowledge and how one might go about formulating such a notion in terms of different levels of representation and explanation. The context for my discussion is the BCS account of superconductivity, a `theory' that was, and still is, sometimes referred to as a `model'. BCS provides a nice focus for the discussion because it illuminates various features of the theory/model relationship that seem to require a robust notion of theory that is not easily captured by the semantic account. (shrink)

Moral emotions shape the effectiveness of culturally diverse teams. However, these emotions, which are integral to determining ethically responsive patient care and team relationships, typically go unrecognised. The contribution of emotions to moral deliberation is subjugated within the technorational environment of healthcare decision‐making. Contemporary healthcare organisations rely on a multicultural workforce charged with the ethical care of vulnerable people. Limited extant literature examines the role of moral emotions in ethical decision‐making among culturally diverse healthcare teams. Moral emotions are evident in (...) ethnocentric moral perspectives that construct some colleagues' practices as ‘other’. This article examines how moral emotions are evoked when cultural dissonance influences nurses' moral perceptions. We use a qualitative investigation of teamwork within culturally diverse healthcare organisations. We use Haidt's () account of moral emotions to examine practice‐based accounts of 36 internationally educated and 17 New Zealand educated nurses practising in New Zealand. The study provides evidence that moral emotions are frequently elicited by communication and care practices considered ‘foreign’. The main implication is that although safe practice in healthcare organisations is reliant on highly functioning teams, collaboration is challenged by interprofessional power relations of contested culturally shaped values. We address practice‐based strategies that enable engagement with moral emotions to enhance effective teamwork. (shrink)

The debate between the Mendelians and the (largely Darwinian) biometricians has been referred to by R. A. Fisher as ‘one of the most needless controversies in the history of science’ and by David Hull as ‘an explicable embarrassment’. The literature on this topic consists mainly of explaining why the controversy occurred and what factors prevented it from being resolved. Regrettably, little or no mention is made of the issues that figured in its resolution. This paper deals with the latter topic (...) and in doing so reorients the focus of the debate as one between Karl Pearson and R. A. Fisher rather than between the biometricians and the Mendelians. One reason for this reorientation is that Pearson's own work in 1904 and 1909 suggested that Mendelism and biometry could, to some extent, be made compatible, yet he remained steadfast in his rejection of Mendelism. The interesting question then is why Fisher, who was also a proponent of biometric methods, was able to synthesise the two traditions in a way that Pearson either could not or would not. My answer to this question involves an analysis of the ways in which different kinds of assumptions were used in modelling Mendelian populations. I argue that it is these assumptions, which lay behind the statistical techniques of Pearson and Fisher, that can be isolated as the source of Pearson's rejection of Mendelism and Fisher's success in the synthesis. (shrink)

Despite the close connection between the central limit theorem and renormalization group (RG) methods, the latter should be considered fundamentally distinct from the kind of probabilistic framework associated with statistical mechanics, especially the notion of averaging. The mathematics of RG is grounded in dynamical systems theory rather than probability, which raises important issues with respect to the way RG generates explanations of physical phenomena. I explore these differences and show why RG methods should be considered not just calculational tools but (...) the basis for a physical understanding of complex systems in terms of structural properties and relations. (shrink)

Many of the arguments against reductionism and fundamental theory as a method for explaining physical phenomena focus on the role of models as the appropriate vehicle for this task. While models can certainly provide us with a good deal of explanatory detail, problems arise when attempting to derive exact results from approximations. In addition, models typically fail to explain much of the stability and universality associated with critical point phenomena and phase transitions, phenomena sometimes referred to as "emergent." The paper (...) examines the connection between theoretical principles like spontaneous symmetry breaking and emergent phenomena and argues that new ways of thinking about emergence and fundamentalism are required in order to account for the behavior of many phenomena in condensed matter and other areas of physics. (shrink)

In this paper I argue for a distinction between subjective and value laden aspects of judgements showing why equating the former with the latter has the potential to confuse matters when the goal is uncovering the influence of political influences on scientific practice. I will focus on three separate but interrelated issues. The first concerns the issue of ‘verification’ in computational modelling. This is a practice that involves a number of formal techniques but as I show, even these allegedly objective (...) methods ultimately rely on subjective estimation and evaluation of different types of parameters. This has implications for my second point which relates to uncertainty quantification—an assessment of the degree of uncertainty present in a particular modelling scenario. I argue that while this practice also involves subjective elements, in no way does that detract from its status as an epistemic exercise. Finally I discuss the relation between accuracy and uncertainty and how each relates to judgements that embody social/ethical/political concerns, in particular those associated with high consequence systems. (shrink)

The physics of condensed matter, in contrast to quantum physics or cosmology, is not traditionally associated with deep philosophical questions. However, as science - largely thanks to more powerful computers - becomes capable of analysing and modelling ever more complex many-body systems, basic questions of philosophical relevance arise. Questions about the emergence of structure, the nature of cooperative behaviour, the implications of the second law, the quantum-classical transition and many other issues. This book is a collection of essays by leading (...) physicists and philosophers. Each investigates one or more of these issues, making use of examples from modern condensed matter research. Physicists and philosophers alike will find surprising and stimulating ideas in these pages. (shrink)

The paper begins with a generic discussion of modelling, focusing on some of its practices and problems. I then move on to a philosophical discussion about emergence and multi-scale modelling; more specifically, the reasons why what looks like a promising strategy for dealing with emergence is sometimes incapable of delivering interesting results. This becomes especially evident when we look more closely at turbulence and what I take to be the main ontological feature of emergent behavior—universality. Finally, I conclude by showing (...) why, despite displaying multi-scale behaviour and some of the characteristics we identify with emergence, turbulence fails to fit neatly into the latter category and is not successfully captured using multi-scale modelling. The complex nature of turbulence illustrates the difficulties in characterizing emergence and why specific criteria are needed in order to prevent every complex behaviour we don’t understand being classified as emergent. (shrink)

In addition to its obvious successes within the kinetic theory the ideal gas law and the modeling assumptions associated with it have been used to treat phenomena in domains as diverse as economics and biology. One reason for this is that it is useful to model these systems using aggregates and statistical relationships. The issue I deal with here is the way R. A. Fisher used the model of an ideal gas as a methodological device for examining the causal role (...) of selection in producing variation in Mendelian populations. The model enabled him to create the kind of population where one could measure the effects of selection in a way that could not be done empirically. Consequently we are able to see how the model of an ideal gas was transformed into a biological model that functioned as an instrument for both investigating nature and developing a new theory of genetics. (shrink)

Philosophy and Phenomenological Research, Volume 99, Issue 3, Page 720-725, November 2019.

Ernst Mayr has criticised the methodology of population genetics for being essentialist: interested only in “types” as opposed to individuals. In fact, he goes so far as to claim that “he who does not understand the uniqueness of individuals is unable to understand the working of natural selection” (1982, 47). This is a strong claim indeed especially since many responsible for the development of population genetics (especially Fisher, Haldane, and Wright) were avid Darwinians. In order to unravel this apparent incompatibility (...) I want to examine the possible sources and implications of essentialism in this context and show why the kind of mathematical analysis found in Fisher's work is better seen as responsible for extending the theory of natural selection to a broader context rather than inhibiting its applicability. (shrink)

The philosophy of science community mourns the loss of Margaret Catherine Morrison, who passed away on January 9, 2021, after a long battle with cancer. Margie, as she was known to all who knew her, was highly regarded for her influential contributions to the philosophy of science, particularly her studies of the role of models and simulations in the natural and social sciences. These contributions made her a world-leading philosopher of science, instrumental in shifting philosophers' attention from (...) the structure of scientific theories to the practice of science. Her sophisticated studies of the function of models in scientific practice drew on detailed knowledge of the theories and experiments of physics as well as the history of physics. In emphasizing the autonomy of scientific models and their interventional character, her insights had some affinity with Cartwright's and Hacking’s views on phenomenological laws, entity realism, the instrumentalist interpretation of scientific theories, and the disunity of science. But Morrison’s approach was distinguished by the conviction that the existence of unobservable entities cannot be defended independently of the theories that support their evidence, and that scientific practice cannot be adequately understood without examining the reasons for theory unification. (shrink)

Models as Mediators discusses the ways in which models function in modern science, particularly in the fields of physics and economics. Models play a variety of roles in the sciences: they are used in the development, exploration and application of theories and in measurement methods. They also provide instruments for using scientific concepts and principles to intervene in the world. The editors provide a framework which covers the construction and function of scientific models, and explore the ways in which they (...) enable us to learn about both theories and the world. The contributors to the volume offer their own individual theoretical perspectives to cover a wide range of examples of modelling, from physics, economics and chemistry. These papers provide ideal case-study material for understanding both the concepts and typical elements of modelling, using analytical approaches from the philosophy and history of science. (shrink)

One of the hallmarks of Kantian philosophy, especially in connection with its characterization of scientific knowledge, is the importance of unity, a theme that is also the driving force behind a good deal of contemporary high energy physics. There are a variety of ways that unity figures in modern science—there is unity of method where the same kinds of mathematical techniques are used in different sciences, like physics and biology; the search for unified theories like the unification of electromagnetism and (...) optics by Maxwell; and, more recently, the project of grand unification or the quest for a theory of everything which involves a reduction of the four fundamental forces under the umbrella of a single theory. In this latter case it is thought that when energies are high enough, the forces , while very different in strength, range and the types of particles on which they act, become one and the same force. The fact that these interactions are known to have many underlying mathematical features in common suggests that they can all be described by a unified field theory. Such a theory describes elementary particles in terms of force fields which further unifies all the interactions by treating particles and interactions in a technically and conceptually similar way. It is this theoretical framework that allows for the prediction that measurements made at a certain energy level will supposedly indicate that there is only one type of force. In other words, not only is there an ontological reduction of the forces themselves but the mathematical framework used to describe the fields associated with these forces facilitates their description in a unified theory. Specific types of symmetries serve an important function in establishing these kinds of unity, not only in the construction of quantum field theories but also in the classification of particles; classifications that can lead to new predictions and new ways of understanding properties like quantum numbers. Hence, in order to address issues about unification and reduction in contemporary physics we must also address the way that symmetries facilitate these processes. (shrink)

Prandtl's work on the boundary layer theory is an interesting example for illustrating several important issues in philosophy of science such as the relation between theories and models and whether it is possible to distinguish, in a principled way, between pure and applied science. In what follows I discuss several proposals by the symposium participants regarding the interpretation of Prandtl's work and whether it should be characterized as an instance of applied science. My own interpretation of this example (1999) emphasised (...) the degree of autonomy embedded in Prandtl's boundary layer model and the way it became integrated in the larger theoretical context of hydrodynamics. In addition to extending that discussion here I also claim that the characterization of applied science which formed the basis for the symposium does not enable us to successfully distinguish applied science from the general practice of 'applying' basic scientific knowledge in a variety of contexts. (shrink)

I argued that the frameworks and mechanisms that produce unification do not enable us to explain why the unified phenomena behave as they do. That is, we need to look beyond the unifying process for an explanation of these phenomena. Anya Plutynski ([2005]) has called into question my claim about the relationship between unification and explanation as well as my characterization of it in the context of the early synthesis of Mendelism with Darwinian natural selection. In this paper I argue (...) that her methodological criticisms rest on a misinterpretation of my views on explanation and defend my historical interpretation of the work of Fisher and Wright. A statement of the problem Methodological differences: how to characterize explanation Historical matters: disagreements about details Explanation revisited: the possible versus the ‘merely actual’. (shrink)

A dearth of literature focuses on the relationship between acculturation, power distance and liminality for migrant nurses entering foreign workplaces. Expectations are for migrant nurses to be practice‐ready swiftly. However, this aspiration is naïve given the complex shifts that occur in deeply held cultural beliefs and practices and is dependent on an organisational climate of reciprocal willingness to adapt and learn. This exploratory study identified that although a plethora of literature addresses challenges migrant nurses face, there are limited data that (...) link these transitional processes to concepts that might usefully guide transitions. This study draws from the overarching concept of acculturation, together with Hofstede's (2011) notion of power distance and the theory of liminality to explore the experiences of eight migrant nurses. Data highlighted that adjusting to altered hierarchical relationships took many months because negotiating power distance challenged deeply held beliefs and assumptions about professional and organisational hierarchies. Migrant nurses’ accounts indicated a paucity of organisational processes to address these difficulties; therefore, they navigated this liminal space of adjustment to power distance differences in an ad hoc manner. Their acculturation experiences, arguably unnecessarily prolonged, indicate the value in workplace commitment to exploring a collaborative, critically reflective approach to optimise transitions. (shrink)

Some very persuasive arguments have been put forward in recent years in support of the disunity of science. Despite this, one is forced to acknowledge that unification, especially the practice of unifying theories, remains a crucial aspect of scientific practice. I explore specific aspects of this tension by examining the nature of theory unification and how it is achieved in the case of the electroweak theory. I claim that because the process of unifying theories is largely dependent on particular kinds (...) of mathematical structures it is possible to have a theory that displays a degree of unity at the level of theoretical structure without an accompanying ontological unity or reduction. As a result, unity and disunity can coexist not only within science but within the same theory. (shrink)