Christopher Boorse’s bio-statistical theory of health and disease argues that the central discipline on which theoretical medicine relies is physiology. His theory has been much discussed but little has been said about its focus on physiology or, conversely, about the role that other biomedical disciplines may play in establishing a theoretical concept of health. Since at least the 1950s, epidemiology has gained in strength and legitimacy as an independent medical science that contributes to our knowledge of health (...) and disease. Indeed, it not only provides important information about disease distribution and aetiology, but the risk-factor approach it employs seems to challenge BST’s binary conception of health and disease. The objective of the article is to show, firstly, how important information deriving from descriptive and analytical epidemiology forms part of our contemporary medical concepts of health and disease, and secondly, that these elements are not taken into account by BST in a satisfactory way. The article’s central contention, therefore, is that if the project of defining the theoretical concept of health is to be maintained, more importance should be accorded to the contribution made by epidemiology—alongside physiology—in defining health. (shrink)

Christopher Boorse’s Health care ethics: an introduction, Temple University Press, Philadelphia, pp 359–393, 1987; in Humber, Almeder, Totowa What is disease?, Humana Press, New York City, pp 1–134, 1997; J Med Philos, 39:683–724, 2014) Bio-Statistical Theory comprehends diseases in terms of departures from natural norms, which involve an objectively describable deviation from the proper physiological or psychological functioning of parts of the human organism. I argue that while recent revisions and additional considerations shield the BST from a number (...) of issues raised by critics, they give rise to significant new challenges. These are related to the attribution of epistemic authority, the possibility of multiple concepts in the authoritative literature, and the framing of BST as “philosophical explication.” The conclusion is that, in its current form, the BST is unable to provide a robust framework for a naturalist classification. (shrink)

This book is about the use of legal scholarship by judges. It discusses the possibility that legal scholarship may function as a genuine source of law in modern municipal legal systems. The book advances a number of claims, some conceptual, some empirical, some normative. The major conceptual claims are found in Chapters 2 and 3, where a general account of the notion of a source of law is provided. Roughly, sources of law are documents or practices (e.g. statutes, judicial decisions, (...) official customs) from which norms can be derived that function as sources of content-independent reasons for judges to decide legal cases one way or another. The relevant notion of content-independence is derived (with qualifications) from H.L.A. Hart's jurisprudence. Indeed, the book's analysis of the concept of a source of law relies at various points on Hartian insights about law and legal reasoning. Chapter 4 argues that legal scholarship - or, more precisely, a particular type of legal scholarship that might be described as standard or doctrinal - can be, and indeed is, used as a source of law in modern legal systems. The conclusion that legal scholarship is used as a source of law (and thus as a source of content-independent reasons for action) may come as a surprise to those who associate judicial recourse to legal scholarship with judicial activism. This association is discussed and criticized in Chapters 5 and 6. It is argued that, in spite of a relatively common opinion to the contrary, legal scholarship can be used to mitigate discretion. In fact, it is precisely because it can be used in this way that judges sometimes refer to scholarship deceptively and suggest that it limits discretion in situations in which it really does not. The concluding chapter addresses potential objections not explicitly discussed in earlier chapters.. (shrink)

The paper engages Christopher Boorse’s Bio-Statistical Theory. In its current form, BST runs into a significant challenge. For BST to account for its central tenet—that lower-level part-dysfunction is sufficient for higher-level pathology—it must provide criteria for how to decide which lower-level parts are the ones to be analyzed for health or pathology. As BST is a naturalistic theory, such choices must be based solely on naturalistic considerations. An argument is provided to show that, if BST is to (...) be preserved, such parthood choices are based on non-naturalistic considerations. We demonstrate that even when parthood choices are based on the best way to preserve BST, there are counterintuitive results which bring the central tenet of BST into question. (shrink)

La possibilité d’une définition naturaliste de la santé et d’une distinction entre le normal et le pathologique qui ne repose pas sur des normes culturelles, sociales ou subjectives est au cœur des débats en philosophie de la médecine. Or le concept statistique de la normalité, fondamental pour une définition objective de la santé, soulève d’importantes difficultés. Christopher Boorse défend une « théorie bio-statistique » qui, en articulant ce concept à une notion non normative de fonction biologique, résoudrait ces difficultés. L’identification (...) de la santé et de la normalité au sens statistique demeure toutefois centrale dans sa définition. Après avoir précisé le rôle que joue la normalité statistique dans la BST, nous dégageons, à partir de l’épidémiologie contemporaine, un certain nombre de problèmes et questions que cette définition naturaliste soulève.The liability for a naturalist definition of health and for a value-free distinction between the normal and the pathological is at the core of discussions on health and disease in philosophy of medicine. But the statistical concept of normality, a central one for any objective definition of health, raises numerous problems. Christopher Boorse argues for a « biostatistical theory » which aims at solving these difficulties by articulating a statistical concept of normality and a non-normative concept of biological function. However the BST is still based on identifying normality and health with the most frequent. After analyzing in details the true role of statistical normality in BST, I will show how results and data from modern epidemiology can be mobilized to reveal several limits and difficulties with respect to this naturalist definition of health and disease. (shrink)

Christopher Boorse's Bio Statistical Theory (BST) defines health as the absence of disease, and disease as the adverse departure from normal species functioning. This paper presents a two-pronged problem for this account. First I demonstrate that, in order to accurately account for dynamic physiological functions, Boorse's account of normal function needs to be modified to index functions against situations. I then demonstrate that if functions are indexed against situations, the BST can no longer account for diseases that result (...) from specific environmental factors. The BST is impaled on either horn of this dilemma and therefore must be dismissed. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Why Theory?Oscar Martín (bio) and Simone Pinet (bio)Theory is, of course, a medieval word, brought from Greek into Latin from a common root (theastai) that also gives us theater, linked through shared meanings related to speculation, contemplation, and so forth. It is used in the Bible, and its English modern use, according to the Oxford english dictionary, probably comes from a medieval Latin translation of Aristotle. The (...) dictionary does not direct us to any specific translation, but prompts us to compare with Italian and, of course, French usage. In French, however, the word théorie was not used until quite late. In fact, it appeared for the first time in French in a 1584 translation of Antonio de Guevara, the famous Spanish court preacher and man of letters whose oeuvre was translated, imitated, and plagiarized in France, Italy, Germany, and England during the sixteenth century. In Spanish, the word theoria had begun its vernacular life a few years before in the writings of Fernando de Herrera.Theoria is already documented by Antonio de Nebrija’s Vocabulario español-latino of 1495, listed between “speculation” and “species” and designating the contemplative and the art of speculation, from theory to the perception of its quality. It is appropriate that Spanish would give theory to the West, sharing with it a point of view or, better, a series of perspectives or miradores, as María Rosa Menocal would call them, from which to look back into or beyond cultural and literary practices [“Visions of al-Andalus”]. For Medieval Iberia was, as this collection of essays purports to be, not a space or a history but a shifting and fluid gaze on the conflicting world surrounding the different literary and cultural works dealt with in this issue.Reluctant at best, and most of the time resentful of theoretical approaches to the study of literature and culture, medievalism found in Hispanism a surprising and most loyal ally. If in most Spanish departments critical theory pushed its way into the study of later periods, to the point that today even the mourning itself (or celebration) of the agony of theory is done from a theoretical standpoint, Hispanomedievalism remained suspicious longer, and sharpened its words on statistics and “scientific” claims to authority. Its close relationship to historical research, however, also made this philology vulnerable to the practices of interpretation. And it is as a will to interpretation that theory has managed to place itself within and outside the criticism of medieval Iberian literature and culture in insightful and renewing ways—including collective projects similar to the present one. Marina Brownlee’s contribution to this volume in this sense offers a most telling guiding thread of this continued approach to the discipline, which she helped revitalize through her participation in the project the new Medievalism. More recently, Josiah Blackmore and Gregory Hutcheson, also contributing to the present volume, sparked a lively debate, as showcased in a forum published by La corónica, with their project Queer iberia: sexualities, cultures, and crossing from the Middle ages to the renaissance. But a host of monographs and single-authored books in recent years have come to inhabit and enliven medieval studies as Hispanism has grown into the most important area of foreign language studies. [End Page 3]Theories find themselves in the articles for this special issue by way of a development from within. There is no application, no rigid use of conceptual frameworks to revisit texts, but an interior process of thought on and through the texts and cultural practices analyzed that produces theoretical insights. While a variety of methodologies and theoretical positionings can be identified, both explicitly and not, from speech-act theory to deconstruction, from Žižek to Badiou, postcolonialism to politics, these seem to emerge from within, as if the obvious result of the need to think questions posed from slightly different standpoints than they have been up until now. All of the articles reflect on very well-known texts and periods, pondering about a discipline, its methodologies, even the nature of its object of study. These articles do not dismiss previous work, but they do bring it under a new light.At a... (shrink)

Several decades ago, Christopher Boorse formulated an influential statistical theory of normative biological functions but it has often been claimed that his theory suffers from insuperable problems such as an inability to handle cases of epidemic and universal diseases. This paper develops a new statistical theory of normative functions that is capable of dealing with the notorious problem of epidemic and universal diseases. The theory is also more detailed than its predecessors and offers other (...) important advantages over them. It is argued here that statistical theories of biological functions should not be so quickly dismissed. (shrink)

Of all global problems world population growth is the most significant. The growth of the number of people expresses the sum outcome of all economic, social and cultural activities that comprise human history. Demographic data in a concise and quantitative way describe this process in the past and present. By applying the concepts of nonlinear dynamics and synergetics, it is possible to work out a mathematical model for a phenomenological description of the global demographic process and project its trends into (...) the future. Assuming self-similarity as the dynamic principle of development, growth can be described over practically the whole of human history, with a growth rate proportional to the square of the number of people. This is due to a collective interaction, responsible for the growth of human numbers, as the result of the informational nature of development. The large parameter of the theory and the effective size of a coherent population group is of the order of 105. As the microscopic parameter of the phenomenology, the human life span is introduced into the theory. Estimates of the beginning of human development 4-5 million years ago and of the total number of people who have ever lived since then ≈ 100 billion are made. In the framework of the model, large scale cycles defined by history and anthropology are shown to follow an exponential pattern of growth, culminating in the demographic transition, a veritable revolution when population growth is to stabilize at 10 to 12 billion. (shrink)

Cognition in living entities—and their social groupings or institutional artifacts—is necessarily as complicated as their embedding environments, which, for humans, includes a particularly rich cultural milieu. The asymptotic limit theorems of information and control theories permit construction of a new class of empirical ‘regression-like’ statistical models for cognitive developmental processes, their dynamics, and modes of dysfunction. Such models may, as have their simpler analogs, prove useful in the study and re-mediation of cognitive failure at and across the scales and (...) levels of organization that constitute and drive the phenomena of life. These new models particularly focus on the roles of sociocultural environment and stress, in a large sense, as both trigger for the failure of the regulation of bio-cognition and as ‘riverbanks’ determining the channels of pathology, with implications across life-course developmental trajectories. We examine the effects of an embedding cultural milieu and its socioeconomic implementations using the ‘lenses’ of metabolic optimization, control system theory, and an extension of symmetry-breaking appropriate to information systems. A central implication is that most, if not all, human developmental disorders are fundamentally culture-bound syndromes. This has deep implications for both individual treatment and public health policy. (shrink)

In this article, I address two objections developed by Kingma against Boorse’s bio-statistical theory of health, the objections that choice of reference classes renders the theory both circular and problematically value-laden. These objections not only apply to the bio-statistical theory of health but also to other naturalistic theories, like the dispositional theory of health. I present three rejoinders. First, I argue that the circularity objection arises from excessive methodological demands. Second, I argue that naturalists (...) can resist the normativist claim that health and pathology are differentiated on the basis of personal or cultural values. Finally, I show that it is possible to justify choices between rival theories of health without the interference of evaluative commitments. With these rejoinders, I conclude that the bio-statistical theory, as well as other naturalistic theories of health utilizing reference classes, is not undermined by Kingma’s arguments. (shrink)

(1988). Explanation, subjunctives and statistical theories. International Studies in the Philosophy of Science: Vol. 3, No. 1, pp. 80-96. doi: 10.1080/02698598808573326.

The notion of common cause closedness of a classical, Kolmogorovian probability space with respect to a causal independence relation between the random events is defined, and propositions are presented that characterize common cause closedness for specific probability spaces. It is proved in particular that no probability space with a finite number of random events can contain common causes of all the correlations it predicts; however, it is demonstrated that probability spaces even with a finite number of random events can be (...) common cause closed with respect to a causal independence relation that is stronger than logical independence. Furthermore it is shown that infinite, atomless probability spaces are always common cause closed in the strongest possible sense. Open problems concerning common cause closedness are formulated and the results are interpreted from the perspective of Reichenbach's Common Cause Principle. (shrink)

This article provides the foundation for a new predictive theory of animal learning that is based upon a simple logical model. The knowledge of experimental subjects at a given time is described using logical equations. These logical equations are then used to predict a subject’s response when presented with a known or a previously unknown situation. This new theory suc- cessfully anticipates phenomena that existing theories predict, as well as phenomena that they cannot. It provides a theoretical account (...) for phenomena that are beyond the domain of existing models, such as extinction and the detection of novelty, from which “external inhibition” can be explained. Examples of the methods applied to make predictions are given using previously published results. The present theory proposes a new way to envision the minimal functions of the nervous system, and provides possible new insights into the way that brains ultimately create and use knowledge about the world. (shrink)

Although theoretical results for several algorithms in many application domains were presented during the last decades, not all algorithms can be analyzed fully theoretically. Experimentation is necessary. The analysis of algorithms should follow the same principles and standards of other empirical sciences. This article focuses on stochastic search algorithms, such as evolutionary algorithms or particle swarm optimization. Stochastic search algorithms tackle hard real-world optimization problems, e.g., problems from chemical engineering, airfoil optimization, or bio-informatics, where classical methods from mathematical optimization fail. (...) Nowadays statistical tools that are able to cope with problems like small sample sizes, non-normal distributions, noisy results, etc. are developed for the analysis of algorithms. Although there are adequate tools to discuss the statistical significance of experimental data, statistical significance is not scientifically meaningful per se. It is necessary to bridge the gap between the statistical significance of an experimental result and its scientific meaning. We will propose some ideas on how to accomplish this task based on Mayo’s learning model (NPT*). (shrink)

In classical speculation on medical matters health is conceived of as a bodily statewhich is in accordance with Nature. It is a state of natural balance in the mixture (complexio) of the primary qualities of the human body. Although few of the details in theancient natural philosophy and the Galenic philosophy of health have survived, it is important to note that two of the ancient ideas still influence the thoughts: the idea ofa balance between opposing elements or forces, and, in (...) particular, the idea of a natural or normal state of the living organism. In the actual reflection there is a forceful attempt to formulate a conception of health and disease in terms of biological norms where the interpretation is unambiguous. According to this conception the biological norms are related to certain natural goals (e.g. survival). These goals are not attributed to the body for the outside, but belong to the internal constitution of the body. In this paper the author wants to present the essential tenets and main merits of such a theory, more precisely the bio-statistical theory of the American philosopher Christopher Boorse. In a second phase he points out a critical assessment of this perspective, mainly focussing on the claims of a value-free scientific approach and of neutrality. (shrink)

Norman Daniels argues that health is important for justice because it affects the distribution of opportunities. He claims that a just society should guarantee fair opportunities by promoting and restoring the “normal functioning” of its citizens, that is, their health. The scope of citizens' mutual obligations with respect to health is defined by a reasonable agreement that, according to Daniels, should be based on the distinction between normal functioning and pathology drawn by the biomedical sciences. This paper deals with the (...) question whether it is legitimate to ascribe the responsibility of defining this important moral boundary to the biomedical sciences, which Daniels regards as value neutral. Daniels appeals to Christopher Boorse's sophisticated bio-statistical theory (BST) to show the plausibility of a value-neutral distinction between normal functioning and pathology. Here I argue that a careful analysis of the concept of normal functioning, such as the one offered by the recent critique by Elselijn Kingma, shows that it depends from evaluative assumptions. This, I argue, implies that Daniels's theory must give up its naturalistic commitments. In the conclusion, the paper offers a detailed discussion and an objection to one of Daniels's arguments in favor of a moderate form of normativism that remains too close to Boorse's naturalism. (shrink)

A Semiotic Theory of Translation, de Kobus Marais, 2019, é o mais importante livro publicado sobre a relação entre os Estudos da Tradução e a Semiótica pragmatista de C.S.Peirce, desde Semio-translation, de Dinda Gorlée, de 2004. Pode-se afirmar que a obra de Gorlée representou uma etapa inicial de ajustes na agenda dos Estudos de Tradução, inspirada na filosofia de Peirce. É um trabalho preliminar, cujo maior mérito foi estabelecer uma vinculação mais sistêmica entre as “áreas”. O livro de Kobus (...) Marais é a mais audaciosa tentativa de desenvolver este projeto. Ele explora diversas consequências da aplicação de muitas entidades e termos teóricos da filosofia de Peirce, especialmente em sua fase madura. Ao fazer isso, Marais abre uma frente inédita de investigação cuja importância não deve ser subestimada. Ele associa muitos aparatos, que incluem rudimentos de uma filosofia de processo de inspiração pragmatista, com forte propensão pluralista; classificações sígnicas desenvolvidas por Peirce, após 1903, período que se estabeleceu como “teoria madura do signo”, inexplorada nos estudos sobre tradução, e ainda pouco explorada pelo próprio scholarship Peirceano; e uma versão emergentista associada a um tratamento baseado na teoria de sistemas complexos. Sobre este último tópico, especialmente influenciado por Terrence Deacon e Floyd Merrell, Marais extrai muitas implicações, relacionadas a uma definição de tradução como negentropia, em sistemas complexos, e generaliza o fenômeno para casos de emergência de fenômenos sócio-culturais. Dividi esta resenha em asserções. Elas se referem às teses que considero mais importantes do livro de Kobus Marais. Embora outras tantas possam ser formuladas, considero aquelas que podem ter maiores implicações. (shrink)

This is a commentary on the use of squares in elementary statistics. One sees an ubiquitous use of squares in statistics, and the analogy of "distance in a statistical sense" is teased out. We conjecture that elementary statistical theory has its roots in classical Calculus, and preserves the notion of two senses described in this paper. We claim that the senses of the differentials dx/dy hold between classical and modern infinitesimal Calculus and show how this sense becomes (...) cashed out in both models. We suggest that the commonalities of both accounts can be used to find a informational realist account of Calculus. This account involves infinitesimal Calculus as acting as an epistemic mediator that expands our conceptual space and enables us to create new measures. (shrink)

This chapter seeks to recover an approach to consciousness from a general theory of brain function, namely the prediction error minimization theory. The way this theory applies to mental and developmental disorder demonstrates its relevance to consciousness. The resulting view is discussed in relation to a contemporary theory of consciousness, namely the idea that conscious perception depends on Bayesian metacognition; this theory is also supported by considerations of psychopathology. This Bayesian theory is first disconnected (...) from the higher-order thought theory, and then, via a prediction error conception of action, connected instead to the global neuronal workspace theory. Considerations of mental and developmental disorder therefore show that a very general theory of brain function is relevant to explaining the structure of conscious perception; furthermore, this theory can subsume and unify two contemporary approaches to consciousness, in a move that seeks to elucidate the fundamental mechanism for selection of representational content into consciousness. (shrink)

For the case of statistical theories, the criteria of explanation, prediction, and testability can all be viewed as particular instances of a more general evaluation scheme. Using the ideas of a gain matrix and expected gain from statistical decision theory, these three criteria can be compared in terms of the elements in their associated gain matrices. This analysis leads to (1) further understanding of the interrelationship between the current criteria, (2) the proposal of an ordering for the (...) criteria, and (3) the suggestion of a new criterion. (shrink)

In The Structure of Biological Science I argued that the theory of natural selection is a statistical theory for reasons much like those which makes thermodynamics a statistical theory. In particular, the theory claims that fitness differences are large enough and the life span of species long enough for increases in average fitness always to appear in the long run; and this claim, I held, is of the same form as the statistical version (...) of the second law of thermodynamics.For the latter law also makes a claim about the long run, and its statistical character is due to this claim: thermodynamic systems must in the long run approach an equilibrium level of organization that maximizes entropy. Over finite times, given local boundary conditions, an isolated mechanical system, like the molecules in a container of gas, may sometimes interact so as to move the entropy of the system further from, instead of closer to the equilbrium level. But given enough interacting bodies, and enough time, the system will always eventually move in the direction prescribed by the law. Thus, we can attach much higher probabilities to the prediction that non-equilibrium systems will reflect greater entropy in future periods than we can to predictions that they will move in the opposite direction. And as we increase the amount of time and the number of bodies interacting, the strength of the probability we can attach to the prediction becomes greater and greater. (shrink)

In The Structure of Biological Science I argued that the theory of natural selection is a statistical theory for reasons much like those which makes thermodynamics a statistical theory. In particular, the theory claims that fitness differences are large enough and the life span of species long enough for increases in average fitness always to appear in the long run; and this claim, I held, is of the same form as the statistical version (...) of the second law of thermodynamics.For the latter law also makes a claim about the long run, and its statistical character is due to this claim: thermodynamic systems must in the long run approach an equilibrium level of organization that maximizes entropy. Over finite times, given local boundary conditions, an isolated mechanical system, like the molecules in a container of gas, may sometimes interact so as to move the entropy of the system further from, instead of closer to the equilbrium level. But given enough interacting bodies, and enough time, the system will always eventually move in the direction prescribed by the law. Thus, we can attach much higher probabilities to the prediction that non-equilibrium systems will reflect greater entropy in future periods than we can to predictions that they will move in the opposite direction. And as we increase the amount of time and the number of bodies interacting, the strength of the probability we can attach to the prediction becomes greater and greater. (shrink)

In May of 1973 we organized an international research colloquium on foundations of probability, statistics, and statistical theories of science at the University of Western Ontario. During the past four decades there have been striking formal advances in our understanding of logic, semantics and algebraic structure in probabilistic and statistical theories. These advances, which include the development of the relations between semantics and metamathematics, between logics and algebras and the algebraic-geometrical foundations of statistical theories (especially in the (...) sciences), have led to striking new insights into the formal and conceptual structure of probability and statistical theory and their scientific applications in the form of scientific theory. The foundations of statistics are in a state of profound conflict. Fisher's objections to some aspects of Neyman-Pearson statistics have long been well known. More recently the emergence of Baysian statistics as a radical alternative to standard views has made the conflict especially acute. In recent years the response of many practising statisticians to the conflict has been an eclectic approach to statistical inference. Many good statisticians have developed a kind of wisdom which enables them to know which problems are most appropriately handled by each of the methods available. The search for principles which would explain why each of the methods works where it does and fails where it does offers a fruitful approach to the controversy over foundations. (shrink)

Some of the most relevant problems today both in Science and practical problems involves Coupled Socio-ecological Systems, which are some of the best examples of Complex Systems. In this work we discuss groundwater-management as an example of these Coupled Socio-ecological System, also known as Coupled Human and Natural Systems. We argue that it is possible and even necessary to construct a contextual statistical theory of groundwater management. Contextuality implies some very different statistical features as entanglement and complementarity. (...) We discuss some interpretation about statistical entanglement and statistical complementarity in terms of groundwater flow theory and extraction equation. To this end, we propose a non-Kolmogorobian approach following the Växjö school of thought. One of the most straightforward conclusions is that in this way, a statistical-contextual treatment of groundwater management may not only give place to new flow equations, but it could have a profound impact in resource management. Then the new basic unity of analysis should be the indivisible pair. We should not talk any more about aquifer dynamics or resource management plans by themselves. Physical and social systems are coupled in a statistical-contextual fundamental way, and a socio-hydrogeological theory should be developed. (shrink)

This special issue addresses question about the place of quantitative methods in the field of biosemiotics. Many standpoints have been taken by contributing authors to demonstrate that the answer to this question is not straightforward. Considering quantitative methods in biosemiotics is necessarily related to inclusion of other scientific fields and interdisciplinary dialogue.

A naturalistic scheme of primitive conceptual representations is proposed using the statistical measure of mutual information. It is argued that a concept represents, not the class of objects that caused its tokening, but the class of objects that is most likely to have caused it (had it been tokened), as specified by the statistical measure of mutual information. This solves the problem of misrepresentation which plagues causal accounts, by taking the representation relation to be determined via ordinal relationships (...) between conditional probabilities. The scheme can deal with statistical biases and does not rely on arbitrary criteria. Implications for the theory of meaning and semantic content are addressed. (shrink)

In this paper, I discuss the question whether objective criteria could be provided for judging something to be a mental illness. I consider the two most prominent objectivist or naturalistic accounts of mental illness, evolutionary and bio-statistical account, which offer such a criterion by relying on the notion of biological function. According to such suggestions, illness is a condition in which there is dysfunciton in some feature of an organism. In this context, I consider different accounts for ascribing functions (...) in biologyand their relationship with the suggested accounts of illnesses. Special focus is placed on the objections according to which the ascription of functions, as envisaged in naturalistic accounts of illness, is incompatible with actual medical and psychiatric practice. I conclude that these objections are legitimate insofar we want to an account of illness that preserves the current practice of ascribing illness. However, the question remains, could a theory that tries to capture the actual medical practice be value-neutral, since our ordinary conception of illness is permeated with value judgments that indirectly enter into medical practice. In that respect, it seems that the requirement for pure objectivity is too strong and thus, it is not reasonable to expect that naturalistic accounts can satisfy it. (shrink)