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  1. Aproximaciones filosóficas a la noción de teoría desde la filosofía de la ciencia en el siglo xx.Roger Sepúlveda Fernández - 2018 - In Estudios filosóficos en ciencia, tecnología y sociedad. Barranquilla: pp. 45-93.
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  2. Classification, Kinds, Taxonomic Stability, and Conceptual Change.Jaipreet Mattu & Jacqueline Anne Sullivan - forthcoming - Aggression and Violent Behavior.
    Scientists represent their world, grouping and organizing phenomena into classes by means of concepts. Philosophers of science have historically been interested in the nature of these concepts, the criteria that inform their application and the nature of the kinds that the concepts individuate. They also have sought to understand whether and how different systems of classification are related and more recently, how investigative practices shape conceptual development and change. Our aim in this paper is to provide a critical overview of (...)
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  3. Understanding “What Could Be”: A Call for ‘Experimental Behavioral Genetics’.S. Alexandra Burt, Kathryn Plaisance & David Z. Hambrick - 2019 - Behavior Genetics 2 (49):235-243.
    Behavioral genetic (BG) research has yielded many important discoveries about the origins of human behavior, but offers little insight into how we might improve outcomes. We posit that this gap in our knowledge base stems in part from the epidemiologic nature of BG research questions. Namely, BG studies focus on understanding etiology as it currently exists, rather than etiology in environments that could exist but do not as of yet (e.g., etiology following an intervention). Put another way, they focus exclusively (...)
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  4. Tools of Reason: The Practice of Scientific Diagramming From Antiquity to the Present.Greg Priest, Silvia De Toffoli & Paula Findlen - 2018 - Endeavour 42 (2-3):49-59.
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  5. The Postwar American Scientific Instrument Industry.Sean F. Johnston - 2007 - In Workshop on postwar American high tech industry, Chemical Heritage Foundation, Philadelphia, 21-22 June 2007.
    The production of scientific instruments in America was neither a postwar phenomenon nor dramatically different from that of several other developed countries. It did, however, undergo a step-change in direction, size and style during and after the war. The American scientific instrument industry after 1945 was intimately dependent on, and shaped by, prior American and European experience. This was true of the specific genres of instrument produced commercially; to links between industry and science; and, just as importantly, to manufacturing practices (...)
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  6. Charles C. Townes, How the Laser Happened: Adventures of a Scientist. [REVIEW]Sean F. Johnston - 2003 - Ambix 50:328-329.
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  7. J. Hurley, Organisation and Scientific Discovery. [REVIEW]Sean F. Johnston - 1998 - Science and Public Policy 25:66-67.
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  8. Klaus Hentschel, Physics and National Socialism. [REVIEW]Sean F. Johnston - 1997 - Science and Public Policy 24:63-64.
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  9. Evidence Amalgamation, Plausibility, and Cancer Research.Marta Bertolaso & Fabio Sterpetti - 2019 - Synthese 196 (8):3279-3317.
    Cancer research is experiencing ‘paradigm instability’, since there are two rival theories of carcinogenesis which confront themselves, namely the somatic mutation theory and the tissue organization field theory. Despite this theoretical uncertainty, a huge quantity of data is available thanks to the improvement of genome sequencing techniques. Some authors think that the development of new statistical tools will be able to overcome the lack of a shared theoretical perspective on cancer by amalgamating as many data as possible. We think instead (...)
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  10. Review of Léna Soler, Emiliano Trizio, and Andrew Pickering, Eds. Science as It Could Have Been. Discussing the Contingency/Inevitability Problem. Pittsburgh: Pittsburgh University Press, 2016. [REVIEW]Katherina Kinzel - 2016 - Hopos: The Journal of the International Society for the History of Philosophy of Science 6 (2):319-323.
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  11. In Search of Space: Fourier Spectroscopy, 1950-1970.Sean F. Johnston - 2001 - In B. Joerges & T. Shinn (eds.), Instrumentation: Between Science, State and Industry, Sociology of the Sciences Yearbook. Dordrecht, Netherlands: Springer. pp. 121-141.
    In the large grey area between science and technology, specialisms emerge with associated specialists. But some specialisms remain ‘peripheral sciences’, never attaining the status of disciplines ensconced in universities, and their specialists do not become recognised professionals. A major social component of such side-lined sciences – one important grouping of techno-scientific workers – is the research-technology community. An important question concerning research-technology is to explain how the grouping survives without specialised disciplinary and professional affiliations. The case discussed illustrates the dynamics (...)
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  12. Vaunting the Independent Amateur: Scientific American and the Representation of Lay Scientists.Sean F. Johnston - 2018 - Annals of Science 75 (2):97-119.
    This paper traces how media representations encouraged enthusiasts, youth and skilled volunteers to participate actively in science and technology during the twentieth century. It assesses how distinctive discourses about scientific amateurs positioned them with respect to professionals in shifting political and cultural environments. In particular, the account assesses the seminal role of a periodical, Scientific American magazine, in shaping and championing an enduring vision of autonomous scientific enthusiasms. Between the 1920s and 1970s, editors Albert G. Ingalls and Clair L. Stong (...)
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  13. Kuhn, Coherentism and Perception.Howard Sankey - forthcoming - In Pablo Melogno, Hernán Miguel & Leandro Giri (eds.), Perspectives On Kuhn.
    The paper takes off from the suggestion of Jouni-Matti Kuukkanen that Kuhn’s account of science may be understood in coherentist terms. There are coherentist themes in Kuhn’s philosophy of science. But one crucial element is lacking. Kuhn does not deny the existence of basic beliefs which have a non-doxastic source of justification. Nor does he assert that epistemic justification only derives from inferential relationships between non-basic beliefs. Despite this, the coherentist interpretation is promising and I develop it further in this (...)
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  14. Understanding and Trusting Science.Matthew H. Slater, Joanna K. Huxster & Julia E. Bresticker - 2019 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 50 (2):247-261.
    Science communication via testimony requires a certain level of trust. But in the context of ideologically-entangled scientific issues, trust is in short supply—particularly when the issues are politically ‘entangled’. In such cases, cultural values are better predictors than scientific literacy for whether agents trust the publicly-directed claims of the scientific community. In this paper, we argue that a common way of thinking about scientific literacy—as knowledge of particular scientific facts or concepts—ought to give way to a second-order understanding of science (...)
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  15. The Structured Uses of Concepts as Tools: Comparing fMRI Experiments That Investigate Either Mental Imagery or Hallucinations.Eden T. Smith - 2018 - Dissertation, University of Melbourne
    Sensations can occur in the absence of perception and yet be experienced ‘as if’ seen, heard, tasted, or otherwise perceived. Two concepts used to investigate types of these sensory-like mental phenomena (SLMP) are mental imagery and hallucinations. Mental imagery is used as a concept for investigating those SLMP that merely resemble perception in some way. Meanwhile, the concept of hallucinations is used to investigate those SLMP that are, in some sense, compellingly like perception. This may be a difference of degree. (...)
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  16. Statistical Inference and the Replication Crisis.Lincoln J. Colling & Dénes Szűcs - forthcoming - Review of Philosophy and Psychology.
    The replication crisis has prompted many to call for statistical reform within the psychological sciences. Here we examine issues within Frequentist statistics that may have led to the replication crisis, and we examine the alternative—Bayesian statistics—that many have suggested as a replacement. The Frequentist approach and the Bayesian approach offer radically different perspectives on evidence and inference with the Frequentist approach prioritising error control and the Bayesian approach offering a formal method for quantifying the relative strength of evidence for hypotheses. (...)
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  17. An Inchoate Universe: James's Probabilistic Underdeterminism.Kyle Bromhall - 2018 - William James Studies 14 (1):54-83.
    In this paper, I challenge the traditional narrative that William James’s arguments against determinism were primarily motivated by his personal struggles with depression. I argue that James presents an alternative argument against determinism that is motivated by his commitment to sound scientific practice. James argues that determinism illegitimately extrapolates from observations of past events to predictions about future events without acknowledging the distinct metaphysical difference between them. This occupation with futurity suggests that James’s true target is better understood as logical (...)
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  18. Tools for Evaluating the Consequences of Prior Knowledge, but No Experiments. On the Role of Computer Simulations in Science.Eckhart Arnold - manuscript
    There is an ongoing debate on whether or to what degree computer simulations can be likened to experiments. Many philosophers are sceptical whether a strict separation between the two categories is possible and deny that the materiality of experiments makes a difference (Morrison 2009, Parker 2009, Winsberg 2010). Some also like to describe computer simulations as a “third way” between experimental and theoretical research (Rohrlich 1990, Axelrod 2003, Kueppers/Lenhard 2005). -/- In this article I defend the view that computer simulations (...)
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  19. Causality: An Empirically Informed Plea for Pluralism: Phyllis Illari and Federica Russo: Causality: Philosophical Theory Meets Scientific Practice. Oxford: Oxford University Press, 2014, 310pp, £29.99 HB. [REVIEW]Christopher Austin - 2016 - Metascience 25 (2):293-296.
    Phyllis Illari & Federica Russo: Causality: Philosophical Theory Meets Scientific Practice. Oxford: Oxford University Press, 2014, 310pp, £29.99 HB.
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  20. The Theory Theory Thrice Over: The Child as Scientist, Superscientist or Social Institution?Michael A. Bishop & Stephen M. Downes - 2002 - Studies in History and Philosophy of Science Part A 33 (1):117-132.
    Alison Gopnik and Andrew Meltzoff have argued for a view they call the ‘theory theory’: theory change in science and children are similar. While their version of the theory theory has been criticized for depending on a number of disputed claims, we argue that there is a fundamental problem which is much more basic: the theory theory is multiply ambiguous. We show that it might be claiming that a similarity holds between theory change in children and (i) individual scientists, (ii) (...)
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  21. Activities of Kinding in Scientific Practice.Catherine Kendig - 2016 - In C. Kendig (ed.), Natural Kinds and Classification in Scientific Practice. Routledge.
    Discussions over whether these natural kinds exist, what is the nature of their existence, and whether natural kinds are themselves natural kinds aim to not only characterize the kinds of things that exist in the world, but also what can knowledge of these categories provide. Although philosophically critical, much of the past discussions of natural kinds have often answered these questions in a way that is unresponsive to, or has actively avoided, discussions of the empirical use of natural kinds and (...)
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  22. Homologizing as Kinding.Catherine Kendig - 2016 - In C. Kendig (ed.), Natural Kinds and Classification in Scientific Practice. Routledge.
    Homology is a natural kind concept, but one that has been notoriously elusive to pin down. There has been sustained debate over the nature of correspondence and the units of comparison. But this continued debate over its meaning has focused on defining homology rather than on its use in practice. The aim of this chapter is to concentrate on the practices of homologizing. I define “homologizing” to be a concept-in-use. Practices of homologizing are kinds of rule following, the satisfaction of (...)
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  23. State of the Field: Are the Results of Science Contingent or Inevitable?Katherina Kinzel - 2015 - Studies in History and Philosophy of Science Part A 52:55-66.
    This paper presents a survey of the literature on the problem of contingency in science. The survey is structured around three challenges faced by current attempts at understanding the conflict between “contingentist” and “inevitabilist” interpretations of scientific knowledge and practice. First, the challenge of definition: it proves hard to define the positions that are at stake in a way that is both conceptually rigorous and does justice to the plethora of views on the issue. Second, the challenge of distinction: some (...)
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  24. Corroborating Evidence‐Based Medicine.Alexander Mebius - 2014 - Journal of Evaluation in Clinical Practice 20 (6):915-920.
    Proponents of evidence-based medicine have argued convincingly for applying this scientific method to medicine. However, the current methodological framework of the EBM movement has recently been called into question, especially in epidemiology and the philosophy of science. The debate has focused on whether the methodology of randomized controlled trials provides the best evidence available. This paper attempts to shift the focus of the debate by arguing that clinical reasoning involves a patchwork of evidential approaches and that the emphasis on evidence (...)
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  25. What’s Wrong with Social Simulations?Eckhart Arnold - 2014 - The Monist 97 (3):359-377.
    This paper tries to answer the question why the epistemic value of so many social simulations is questionable. I consider the epistemic value of a social simulation as questionable if it contributes neither directly nor indirectly to the understanding of empirical reality. To examine this question, two classical social simulations are analyzed with respect to their possible epistemic justification: Schelling’s neighborhood segregation model and Axelrod’s reiterated Prisoner’s Dilemma simulations of the evolution of cooperation. It is argued that Schelling’s simulation is (...)
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  26. The Normative Structure of Mathematization in Systematic Biology.Beckett Sterner & Scott Lidgard - 2014 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 46 (1):44-54.
    We argue that the mathematization of science should be understood as a normative activity of advocating for a particular methodology with its own criteria for evaluating good research. As a case study, we examine the mathematization of taxonomic classification in systematic biology. We show how mathematization is a normative activity by contrasting its distinctive features in numerical taxonomy in the 1960s with an earlier reform advocated by Ernst Mayr starting in the 1940s. Both Mayr and the numerical taxonomists sought to (...)
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  27. Malthus and Ricardo: Two Styles for Economic Theory.Sergio Cremaschi & Marcelo Dascal - 1998 - Science in Context 11 (2):229-254.
    We examine the most famous controversy between economists as a means of shedding fresh light on the current debate about economic methodology. By focusing on the controversy as the primary unit of analysis, we show how methodological considerations are but one of a whole set of stratagems strategically employed by each opponent. We argue that each opponent's preference for a particular kind of stratagems expresses his own specific scientific style (within the general scientific and cultural style of an age). We (...)
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  28. An Epistemological Role for Thought Experiments.Michael Bishop - 1998 - Poznan Studies in the Philosophy of the Sciences and the Humanities 63:19-34.
    Why should a thought experiment, an experiment that only exists in people's minds, alter our fundamental beliefs about reality? After all, isn't reasoning from the imaginary to the real a sign of psychosis? A historical survey of how thought experiments have shaped our physical laws might lead one to believe that it's not the case that the laws of physics lie - it's that they don't even pretend to tell the truth. My aim in this paper is to defend an (...)
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  29. The Value of Epistemic Disagreement in Scientific Practice. The Case of Homo Floresiensis.Helen De Cruz & Johan De Smedt - 2013 - Studies in History and Philosophy of Science Part A 44 (2):169-177.
    Epistemic peer disagreement raises interesting questions, both in epistemology and in philosophy of science. When is it reasonable to defer to the opinion of others, and when should we hold fast to our original beliefs? What can we learn from the fact that an epistemic peer disagrees with us? A question that has received relatively little attention in these debates is the value of epistemic peer disagreement—can it help us to further epistemic goals, and, if so, how? We investigate this (...)
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  30. REVIEW: James R. Brown, Laboratory of the Mind. [REVIEW]Michael T. Stuart - 2012 - Spontaneous Generations 6 (1):237-241.
    Originally published in 1991, The Laboratory of the Mind: Thought Experiments in the Natural Sciences, is the first monograph to identify and address some of the many interesting questions that pertain to thought experiments. While the putative aim of the book is to explore the nature of thought experimental evidence, it has another important purpose which concerns the crucial role thought experiments play in Brown’s Platonic master argument.In that argument, Brown argues against naturalism and empiricism (Brown 2012), for mathematical Platonism (...)
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  31. Fallibility and Authority.Sherrilyn Roush - 2012 - In William Sims Bainbridge (ed.), Leadership in Science and Technology: A Reference Handbook. SAGE.
    Over the centuries since the modern scientific revolution that started with Copernicus, Galileo, Kepler, and Newton, two things have changed that have required reorientation of our assumptions and re-education of our reflexes. First, we have learned that even the very best science is fallible; eminently successful theories investigated and supported through the best methods, and by the best evidence available, might be not just incomplete but wrong. That is, it is possible to have a justified belief that is false.
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  32. Theory-Ladenness of Perception Arguments.Michael A. Bishop - 1992 - PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:287 - 299.
    The theory-ladenness of perception argument is not an argument at all. It is two clusters of arguments. The first cluster is empirical. These arguments typically begin with a discussion of one or more of the following psychological phenomena: (a) the conceptual penetrability of the visual system, (b) voluntary perceptual reversal of ambiguous figures, (c) adaptation to distorting lenses, or (d) expectation effects. From this evidence, proponents of theory-ladenness typically conclude that perception is in some sense "laden" with theory. The second (...)
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  33. Semantic Flexibility in Scientific Practice: A Study of Newton's Optics.Michael Bishop - 1999 - Philosophy and Rhetoric 32 (3):210 - 232.
    Semantic essentialism holds that any scientific term that appears in a well-confirmed scientific theory has a fixed kernel of meaning. Semantic essentialism cannot make sense of the strategies scientists use to argue for their views. Newton's central optical expression "light ray" suggests a context-sensitive view of scientific language. On different occasions, Newton's expression could refer to different things depending on his particular argumentative goals - a visible beam, an irreducibly smallest section of propagating light, or a traveling particle of light. (...)
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  34. A Concept of Discovery.Gary James Jason - 1979 - Journal of Critical Analysis 7 (4):109-118.
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  35. Philosophical & Practical Implications of Quantum Mechanics.Sunil Thakur - manuscript
    Quantum mechanics makes some very significant observations about nature. Unfortunately, these observations remain a mystery because they do not fit into and/or cannot be explained through classical mechanics. However, we can still explore the philosophical and practical implications of these observations. This article aims to explain philosophical and practical implications of one of the most important observations of quantum mechanics – uncertainty or the arbitrariness in the behavior of particles.
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  36. Why the Semantic Incommensurability Thesis is Self-Defeating.Michael A. Bishop - 1991 - Philosophical Studies 63 (3):343 - 356.
    What factors are involved in the resolution of scientific disputes? What factors make the resolution of such disputes rational? The traditional view confers an important role on observation statements that are shared by proponents of competing theories. Rival theories make incompatible (sometimes contradictory) observational predictions about a particular situation, and the prediction made by one theory is borne out while the prediction made by the other is not. Paul Feyerabend, Thomas Kuhn, and Paul Churchland have called into question this account (...)
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  37. Socializing Naturalized Philosophy of Science.Stephen M. Downes - 1993 - Philosophy of Science 60 (3):452-468.
    I propose an approach to naturalized philosophy of science that takes the social nature of scientific practice seriously. I criticize several prominent naturalistic approaches for adopting "cognitive individualism", which limits the study of science to an examination of the internal psychological mechanisms of scientists. I argue that this limits the explanatory capacity of these approaches. I then propose a three-level model of the social nature of scientific practice, and use the model to defend the claim that scientific knowledge is socially (...)
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  38. Science and Politics: Dangerous Liaisons.Neven Sesardić - 1992 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 23 (1):129-151.
    In contrast to the opinion of numerous authors (e.g. R. Rudner, P. Kitcher, L. R. Graham, M. Dummett, N. Chomsky, R. Lewontin, etc.) it is argued here that the formation of opinion in science should be greatly insulated from political considerations. Special attention is devoted to the view that methodological standards for evaluation of scientific theories ought to vary according to the envisaged political uses of these theories.
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Experimentation in Science
  1. The Aims and Structures of Ecological Research Programs.William Bausman - 2019 - Philosophical Topics 47 (1):1-20.
    Neutral Theory is controversial in ecology. Ecologists and philosophers have diagnosed the source of the controversy as: its false assumption that individuals in different species within the same trophic level are ecologically equivalent, its conflict with Competition Theory and the adaptation of species, its role as a null hypothesis, and as a Lakatosian research programme. In this paper, I show why we should instead understand the conflict at the level of research programs which involve more than theory. The Neutralist and (...)
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  2. When Should We Stop Investing in a Scientific Project? The Halting Problem in Experimental Physics.Vlasta Sikimić, Sandro Radovanović & Slobodan Perovic - 2018 - In Kaja Damnjanović, Ivana Stepanović Ilić & Slobodan Marković (eds.), Proceedings of the XXIV Conference “Empirical Studies in Psychology”. Belgrade, Serbia: pp. 105-107.
    The question of when to stop an unsuccessful experiment can be difficult to answer from an individual perspective. To help to guide these decisions, we turn to the social epistemology of science and investigate knowledge inquisition within a group. We focused on the expensive and lengthy experiments in high energy physics, which were suitable for citation-based analysis because of the relatively quick and reliable consensus about the importance of results in the field. In particular, we tested whether the time spent (...)
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  3. Meeting the Brain on its Own Terms.Philipp Haueis - 2014 - Frontiers in Human Neuroscience 815 (8).
    In contemporary human brain mapping, it is commonly assumed that the “mind is what the brain does”. Based on that assumption, task-based imaging studies of the last three decades measured differences in brain activity that are thought to reflect the exercise of human mental capacities (e.g., perception, attention, memory). With the advancement of resting state studies, tractography and graph theory in the last decade, however, it became possible to study human brain connectivity without relying on cognitive tasks or constructs. It (...)
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  4. Examining Tensions in the Past and Present Uses of Concepts (Preprint).Eden T. Smith - 2020 - Studies in History and Philosophy of Science Part A 84:84-94.
    Examining tensions between the past and present uses of scientific concepts can help clarify their contributions as tools in experimental practices. This point can be illustrated by considering the concepts of mental imagery and hallucinations: despite debates over their respective referential reliabilities remaining unresolved within their interdependent histories, both are used as independently stable concepts in neuroimaging experiments. Building on an account of how these concepts function as tools structured for pursuit of diverging goals in experiments, this paper explores this (...)
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  5. Extrapolating From Laboratory Behavioral Research on Nonhuman Primates Is Unjustified.Parker Crutchfield - 2020 - Journal of Applied Philosophy 37 (4):628-645.
    Conducting research on animals is supposed to be valuable because it provides information on how human mechanisms work. But for the use of animal models to be ethically justified, it must be epistemically justified. The inference from an observation about an animal model to a conclusion about humans must be warranted for the use of animals to be moral. When researchers infer from animals to humans, it’s an extrapolation. Often non-human primates are used as animal models in laboratory behavioral research. (...)
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  6. Examining the Structured Uses of Concepts as Tools: Converging Insights.Eden T. Smith - 2019 - Filozofia Nauki 4 (28):7-22.
    Examining the historical development of scientific concepts is important for understanding the structured routines within which these concepts are currently used as goal-directed tools in experiments. To illustrate this claim, I will outline how the concepts of mental imagery and hallucinations each draw on an older interdependent set of associations that, although nominally-discarded, continues to structure their current independent uses for pursuing discrete experimental goals. In doing so, I will highlight how three strands of literature offer mutually instructive insights for (...)
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  7. The Epistemic Superiority of Experiment to Simulation.Sherrilyn Roush - 2018 - Synthese 195 (11):4883-4906.
    This paper defends the naïve thesis that the method of experiment has per se an epistemic superiority over the method of computer simulation, a view that has been rejected by some philosophers writing about simulation, and whose grounds have been hard to pin down by its defenders. I further argue that this superiority does not come from the experiment’s object being materially similar to the target in the world that the investigator is trying to learn about, as both sides of (...)
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  8. Experimental Design: Ethics, Integrity and the Scientific Method.Jonathan Lewis - 2020 - In Ron Iphofen (ed.), Handbook of Research Ethics and Scientific Integrity. Cham, Switzerland: pp. 459-474.
    Experimental design is one aspect of a scientific method. A well-designed, properly conducted experiment aims to control variables in order to isolate and manipulate causal effects and thereby maximize internal validity, support causal inferences, and guarantee reliable results. Traditionally employed in the natural sciences, experimental design has become an important part of research in the social and behavioral sciences. Experimental methods are also endorsed as the most reliable guides to policy effectiveness. Through a discussion of some of the central concepts (...)
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  9. Interdependent Concepts and Their Independent Uses: Mental Imagery and Hallucinations.Eden T. Smith - 2018 - Perspectives on Science 26 (3):360-399.
    The scientific concepts of mental imagery and hallucinations are each used independently of the other; uses that simultaneously evoke and obscure their historical connections. In this paper, I aim to illustrate the relevance of examining one of these historical connections for studying the current uses of these two concepts in neuroimaging experiments. To this end, I will highlight interdependent associations within the histories of each of the concepts that continue to contribute to their independent uses.That mental imagery and hallucinations are (...)
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  10. Ontology.Barry Smith - 2003 - In Luciano Floridi (ed.), Blackwell Guide to the Philosophy of Computing and Information. Oxford: Blackwell. pp. 155-166.
    Ontology as a branch of philosophy is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality. ‘Ontology’ in this sense is often used by philosophers as a synonym of ‘metaphysics’ (a label meaning literally: ‘what comes after the Physics’), a term used by early students of Aristotle to refer to what Aristotle himself called ‘first philosophy’. But in recent years, in a development hardly noticed by philosophers, the (...)
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  11. Everyday Practice of Science: Where Intuition and Passion Meeting Objectivity and Logic.Frederick Grinnell - 2009 - New York, USA: Oxford University Press.
    This book describes how scientists bring their own interests and passions to their work, illustrates the dynamics between researchers and the research community ...
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  12. Optogenetics, Pluralism, and Progress.Jacqueline Anne Sullivan - 2018 - Philosophy of Science 85 (00):1090-1101.
    Optogenetic techniques are described as “revolutionary” for the unprecedented causal control they allow neuroscientists to exert over neural activity in awake behaving animals. In this paper, I demonstrate by means of a case study that optogenetic techniques will only illuminate causal links between the brain and behavior to the extent that their error characteristics are known and, further, that determining these error characteristics requires comparison of optogenetic techniques with techniques having well known error characteristics and consideration of the broader neural (...)
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1 — 50 / 499