Hva er vitenskap og hva anser vi som vitenskaplighet? Dette er spørsmål som kan være verdt å se nøyere på før vi aksepterer at det er et klart skille mellom den etablerte skolemedisinen og alt det vi kaller ”alternativ medisin” eller ”alternativ behandling”. For hva er det egentlig som gjør noe til etablert og noe annet til et alternativ? Er den etablerte medisin mer vitenskapelig enn den alternative, ved at den for eksempel benytter seg av mer vitenskapelige metoder? Er resultatene (...) til den etablerte behandlingen ”vitenskapelig bevist”, mens den alternative behandlingen ikke har noen vitenskapelig dokumenterte resultater å vise til? Og har den alternative tradisjonen et forklaringsproblem med hensyn til hvorfor behandlingen eventuelt fungerer, mens den etablerte tradisjonen kan henvise til entydige kausale modeller? -/- Hva vi er tilbøyelig til å svare på slike spørsmål avhenger av hva vi legger i begrepene vitenskap og vitenskapelighet. (shrink)

In this paper we present a new framework of idealization in biology. We characterize idealizations as a network of counterfactual conditionals that can exhibit different degrees of contingency. We use the idea of possible worlds to say that, in departing more or less from the actual world, idealizations can serve numerous epistemic, methodological or heuristic purposes within scientific research. We defend that, in part, it is this structure what helps explain why idealizations, despite being deformations of reality, are so successful (...) in scientific practice. (shrink)

Philosophy of Science: Contemporary Readings is a comprehensive anthology that draws together leading philosophers writing on the major themes in the philosophy of science. Sections are: Science and Philosophy; Explanation; Causation and Laws; Scientific Theories and Conceptual Change; Scientific Realism; Testing and Confirmation of Theories; and Science in Context. Each section is prefaced by an introductory essay by the editors. The readings are designed to complement Philosophy of Science: A Contemporary Introduction (Routledge 2000), though the anthology can also be used (...) as a stand-alone volume. (shrink)

Conceptual analysis, like any exclusively theoretical activity, is far from overrated in current psychology. Such a situation can be related both to the contingent influences of contextual and historical character and to the more essential metatheoretical reasons. After a short discussion of the latter it is argued that even within a strictly empirical psychology there are non-trivial tasks that can be attached to well-defined and methodologically reliable, conceptual work. This kind of method, inspired by the ideas of Ludwig Wittgenstein, Peter (...) Strawson (conceptual grammar), and Gilbert Ryle (conceptual geography), is proposed and formally depicted as being holistic, descriptive, and connective. Finally, the newly presented framework of connective conceptual analysis is defended against the “Charge from Psychology,” in a version developed by William Ramsey, claiming that conceptual analysis is based on psychological assumptions that have already been refuted by empirical psychology. (shrink)

Philosophy of Science, broadly construed, is as old as philosophy itself. It was only in the early twentieth century that it emerged as a distinct sub-discipline with its own professional standards and institutional structures, and it has come a long way since these pioneering days. During the century’s first four decades the focus was primarily on what nowadays would be referred to as Ôgeneral philosophy of science’, the study of problems that arise in all scientific disciplines alike. Since the 1960s (...) philosophers have increasingly paid attention to issues in particular sciences – at the beginning primarily in mathematics, physics and biology. Later on chemistry, economics, and the social sciences followed suit. And in the last few decades these so-called Ôphilosophies of the special sciences’ have reached unprecedented maturity. The 1960s saw another important development: the entry of history of science into philosophical debates, which led to a style of argument that based philosophical analysis on detailed historical case studies. In the 1980s, finally, sociological, and more generally humanities, perspectives on science entered the scene and contributed yet another way to approach the study of both the practices and the results of the sciences. This plenitude of schools, movements, and approaches can be bewildering, and keeping track of all of them is a Herculean task. So novices and seasoned practitioner alike may be grateful for a guiding hand, and that is what the new Routledge Companion to.. (shrink)

The evidence-based medicine (EBM) movement is touted as a new paradigm in medical education and practice, a description that carries with it an enthusiasm for science that has not been seen since logical positivism flourished (circa 1920–1950). At the same time, the term ‘‘evidence-based medicine’’ has a ring of obviousness to it, as few physicians, one suspects, would claim that they do not attempt to base their clinical decision-making on available evidence. However, the apparent obviousness of EBM can and should (...) be challenged on the grounds of how ‘evidence’ has been problematised in the philosophy of science. EBM enthusiasm, it follows, ought to be tempered. The post-positivist, feminist, and phenomenological philosophies of science that are examined in this paper contest the seemingly unproblematic nature of evidence that underlies EBM by emphasizing different features of the social nature of science. The appeal to the authority of evidence that characterizes evidence-based practices does not increase objectivity but rather obscures the subjective elements that inescapably enter all forms of human inquiry. The seeming common sense of EBM only occurs because of its assumed removal from the social context of medical practice. In the current age where the institutional power of medicine is suspect, a model that represents biomedicine as politically disinterested or merely scientific should give pause. (shrink)

Thomas Kuhn's post-1980 writings have increasingly emphasized the role played by language in the characterization of scientific revolutions and incommensurability. We argue that Kuhn's `linguistic turn' can be understood best against the background of a Whorfian conception of language and certain neo-Kantian themes. While this enables Kuhn to refine and unify his earlier views, it also creates some difficulties.

Without scientific theory, the technology developments of recent years would not have been possible. In this exceptionally clear and engaging introduction to philosophy of science, James Ladyman explores the scope of natural science and its implications for human life. With the focus firmly upon realism, he discusses how fundamental philosophical questions can be answered by science and how scientific theory can confirm and inform our basic and intrinsic knowledge.

Scientific research is almost always conducted by communities of scientists of varying size and complexity. Such communities are effective, in part, because they divide their cognitive labor: not every scientist works on the same project. Philip Kitcher and Michael Strevens have pioneered efforts to understand this division of cognitive labor by proposing models of how scientists make decisions about which project to work on. For such models to be useful, they must be simple enough for us to understand their dynamics, (...) but faithful enough to reality that we can use them to analyze real scientific communities. To satisfy the first requirement, we must employ idealizations to simplify the model. The second requirement demands that these idealizations not be so extreme that we lose the ability to describe real-world phenomena. This paper investigates the status of the assumptions that Kitcher and Strevens make in their models, by first inquiring whether they are reasonable representations of reality, and then by checking the models’ robustness against weakenings of these assumptions. To do this, we first argue against the reality of the assumptions, and then develop a series of agent-based simulations to systematically test their effects on model outcomes. We find that the models are not robust against weakenings of these idealizations. In fact we find that under certain conditions, this can lead to the model predicting outcomes that are qualitatively opposite of the original model outcomes. (shrink)

Science and philosophy have a very long history, dating back at least to the 16th and 17th centuries, when the first scientist-philosophers, such as Bacon, Galilei, and Newton, were beginning the process of turning natural philosophy into science. Contemporary relationships between the two fields are still to some extent marked by the distrust that maintains the divide between the so-called “two cultures.” An increasing number of philosophers, however, are making conceptual contributions to sciences ranging from quantum mechanics to evolutionary biology, (...) and a few scientists are conducting research relevant to classically philosophical fields of inquiry, such as consciousness and moral decision-making. This article will introduce readers to the borderlands between science and philosophy, beginning with a brief description of what philosophy of science is about, and including a discussion of how the two disciplines can fruitfully interact not only at the level of scholarship, but also when it comes to controversies surrounding public understanding of science. (shrink)

Philosophy of science emerged as a distinctive part of philosophy in the twentieth century. It set its own agenda, the systematic study of the metaphysical and epistemological foundations of science, and acquired its own professional structure, departments and journals. Its defining moment was the meeting (and the clash) of two courses of events: the breakdown of the Kantian philosophical tradition and the crisis in the sciences and mathematics in the beginning of the century. The emergence of the new Frege-Russell logic, (...) the arithmetisation of geometry and the collapse of classical mechanics called into question the neat Kantian scheme of synthetic a priori principles. But the thought that some a priori (framework) principles should be in place in order for science to be possible had still had a strong grip on the thinkers of the European continent. A heated intellectual debate started concerning the status of these a priori principles. The view that dominated the scene after the dust had settled was that the required framework principles were conventions. The seed of this thought was found in Poincaré’s writings, but in the hands of the Logical Positivists, it was fertilised with Frege’s conception of analyticity and Hilbert’s conception of implicit definitions. The consolidation of modern physics lent credence to the view that a priori principles can be revised; hence, a new conception of relativised a priori emerged. The linguistic turn in philosophy re-oriented the subject-matter of philosophical thinking about science to the language of science. Formal-logical methods and conceptual analysis were taken to be the privileged philosophical tools. Not only, it was thought, do they clarify and perhaps solve (or dissolve) traditional philosophical problems; they also make philosophy rigorous and set it apart from empirical science. In the 1930s, philosophy of science became the logic of science; it became synonymous to anti-psychologism, anti-historicism and anti-naturalism.. (shrink)

The final chapter of the book 'redraws the map', to create a new picture of nursing science based on the following principles: Problems of practice should guide ...

A new, social epistemology of science that addresses practical as well as theoretical concerns.

This dissertation examines psychiatry from a philosophy of science perspective, focusing on issues of realism and classification. Questions addressed in the dissertation include: What evidence is there for the reality of mental disorders? Are any mental disorders natural kinds? When are disease explanations of abnormality warranted? How should mental disorders be classified? -/- In addressing issues concerning the reality of mental disorders, I draw on the accounts of realism defended by Ian Hacking and William Wimsatt, arguing that biological research on (...) mental disorders supports the inference that some mental disorders (e.g., schizophrenia, mood disorders, and anxiety disorders) are real theoretical entities, and that the evidence supporting this inference is causal and abductive. In explicating the nature of such entities, I argue that real mental disorders are natural kinds insofar as they are natural classes of abnormal behavior whose members share the same causal structure. I present this position in terms of Richard Boyd’s homeostatic cluster property theory of natural kinds, and argue that this perspective reveals limitations of Hacking’s account on the looping effects of human kinds, which suggests that the objects classified by psychiatrists are unstable entities. I subsequently argue that a subset of mental disorders (e.g., schizophrenia and Down syndrome) are mental illnesses insofar as they are disorders caused by a dysfunctional biological process that leads to harmful consequences for individuals. I present this analysis against Thomas Szasz’s argument that mental illness is a myth. -/- In addressing issues of psychiatric classification, my analysis focuses on the Diagnostic and Statistical Manual of Mental Disorders (DSM), which has been published regularly by the American Psychiatric Association since 1952, and is currently in its fourth edition. After examining the history of DSM in the twentieth century, and in particular, DSM’s shift to an atheoretical and purely descriptive system in the 1980s, I consider the relative merits of descriptive versus causal systems of classification. Drawing on Carl Hempel’s analysis of taxonomic systems in psychiatry, I argue that a causal classification system would provide a superior approach to psychiatric classification than the descriptive system currently favored by DSM. (shrink)

Because of its complexity, contemporary scientific research is almost always tackled by groups of scientists, each of which works in a different part of a given research domain. We believe that understanding scientific progress thus requires understanding this division of cognitive labor. To this end, we present a novel agent-based model of scientific research in which scientists divide their labor to explore an unknown epistemic landscape. Scientists aim to climb uphill in this landscape, where elevation represents the significance of the (...) results discovered by employing a research approach. We consider three different search strategies scientists can adopt for exploring the landscape. In the first, scientists work alone and do not let the discoveries of the community as a whole influence their actions. This is compared with two social research strategies, which we call the follower and maverick strategies. Followers are biased towards what others have already discovered, and we find that pure populations of these scientists do less well than scientists acting independently. However, pure populations of mavericks, who try to avoid research approaches that have already been taken, vastly outperform both of the other strategies. Finally, we show that in mixed populations, mavericks stimulate followers to greater levels of epistemic production, making polymorphic populations of mavericks and followers ideal in many research domains. (shrink)