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Criticism and the growth of knowledge

Cambridge [Eng.]: Cambridge University Press (1970)

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  1. Reduction: the Cheshire cat problem and a return to roots.Kenneth F. Schaffner - 2006 - Synthese 151 (3):377-402.
    In this paper, I propose two theses, and then examine what the consequences of those theses are for discussions of reduction and emergence. The first thesis is that what have traditionally been seen as robust, reductions of one theory or one branch of science by another more fundamental one are a largely a myth. Although there are such reductions in the physical sciences, they are quite rare, and depend on special requirements. In the biological sciences, these prima facie sweeping reductions (...)
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  • Responses conditioned to fear-relevant stimuli survive extinction of the expectancy of the UCS.Anne M. Schell & Michael E. Dawson - 1995 - Behavioral and Brain Sciences 18 (2):312-313.
    Davey suggests that increased resistance to extinction of CRs conditioned to fear-relevant stimuli may be due to more persistent expectancies of the UCS following these stimuli. However, this viewpoint is contradicted by existing empirical evidence that fear-relevant CRs survive an extinction trials series producing extinction of expectancies whereas CRs conditioned to non-fear-relevant CSs do not.
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  • Patterns of abduction.Gerhard Schurz - 2008 - Synthese 164 (2):201-234.
    This article describes abductions as special patterns of inference to the best explanation whose structure determines a particularly promising abductive conjecture and thus serves as an abductive search strategy. A classification of different patterns of abduction is provided which intends to be as complete as possible. An important distinction is that between selective abductions, which choose an optimal candidate from given multitude of possible explanations, and creative abductions, which introduce new theoretical models or concepts. While selective abduction has dominated the (...)
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  • Methodology and finance.Reinhard H. Schmidt - 1982 - Theory and Decision 14 (4):391-413.
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  • Lyotard, postmodernism and science education: A rejoinder to Zembylas.Roland M. Schulz - 2007 - Educational Philosophy and Theory 39 (6):633–656.
    Although postmodernist thought has become prominent in some educational circles, its influence on science education has until recently been rather minor. This paper examines the proposal of Michalinos Zembylas, published earlier in this journal, that Lyotardian postmodernism should be applied to science educational reform in order to achieve the much sought after positive transformation. As a preliminary to this examination several critical points are raised about Lyotard's philosophy of education and philosophy of science which serve to challenge and undermine Zembylas’ (...)
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  • In praise of randomness.Peter H. Schönemann - 1991 - Behavioral and Brain Sciences 14 (1):162-163.
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  • Adaptive modification of behavior: Processing information from the environment.Wolfgang M. Schleidt - 1981 - Behavioral and Brain Sciences 4 (1):158-159.
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  • Anosmic peer review: A rose by another name is evidently not a rose.Sandra Scarr - 1982 - Behavioral and Brain Sciences 5 (2):237-238.
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  • The Structure of Scientific Theories, edited and with a critical introduction by Frederick Suppe.Steven F. Savitt - 1977 - Dialogue 16 (2):328-345.
    This volume is the record of a symposium on the structer of scientific theories held in urbana, Illinois in the spring of 1969. ofSeven main papers, commentaries, discussions, and a postscript form the bulk of the book. The rest is a nearly 240-page monograph-in-the-guise-of-an-introduction by the editor titled “The Search for Philosophic Understanding of Scientific Theories”.
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  • Scotch'd the snake, not killed it.Peter T. Saunders & Mae-Wan Ho - 1987 - Behavioral and Brain Sciences 10 (1):83-84.
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  • The nature of model-based understanding in condensed matter physics.Sang Wook Yi - 2002 - Mind and Society 3 (1):81-91.
    The paper studies the nature of understanding in condensed matter physics (CMP), mediated by the successful employment of its models. I first consider two obvious candidates for the criteria of model-based understanding, Van Fraassen's sense of empirical adequacy and Hacking's instrumental utility , and conclude that both are unsatisfactory. Inspired by Hasok Chang's recent proposal to reformulate realism as the pursuit of ontological plausibility in our system of knowledge, we may require the model under consideration to be understood (or intelligible) (...)
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  • Normative naturalism and the challenge of relativism: Laudan versus Worrall on the justification of methodological principles.Howard Sankey - 1996 - International Studies in the Philosophy of Science 10 (1):37 – 51.
    In a recent exchange, John Worrall and Larry Laudan have debated the merits of the model of rational scientific change proposed by Laudan in his book Science and Values. On the model advocated by Laudan, rational change may take place at the level of scientific theory and methodology, as well as at the level of the epistemic aims of science. Moreover, the rationality of a change which occurs at any one of these three levels may be dependent on considerations at (...)
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  • Toward a semantic general theory of everything.Alexei V. Samsonovich, Rebecca F. Goldin & Giorgio A. Ascoli - 2010 - Complexity 15 (4):NA-NA.
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  • Human rationality: Misleading linguistic analogies.Geoffrey Sampson - 1981 - Behavioral and Brain Sciences 4 (3):350-351.
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  • Pop sociobiology and meta-ethics.Merrilee H. Salmon - 1987 - Behavioral and Brain Sciences 10 (1):83-83.
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  • Now that we know how low the reliability is, what shall we do?Kurt Salzinger - 1991 - Behavioral and Brain Sciences 14 (1):162-162.
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  • Modeling neurosis: one type of learning is not enough.Kurt Salzinger - 1979 - Behavioral and Brain Sciences 2 (2):181-182.
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  • Should the quest for optimality worry us?Nils-Eric Sahlin - 1991 - Behavioral and Brain Sciences 14 (2):231-231.
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  • Psychological adaptation: Alternatives and implications.P. A. Russell - 1992 - Behavioral and Brain Sciences 15 (2):401-401.
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  • Cognisance and cognitive science. Part two: Towards an empirical psychology of cognisance.James Russell - 1989 - Philosophical Psychology 2 (2):165-201.
    Abstract In the first part of this essay (Russell, 1988a) I argued that ?cognisance? (roughly: a subject's knowledge of his relation to the physical world as an experiencer of it) cannot be explained in terms of a syntactic theory of mind, due to the ?referential? and ?holistic? nature of this knowledge. The syntactic account of the higher mental functions is immediately intelligible to us due to its derivation from computer technology, so this would not appear to be a happy result (...)
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  • Rejection, rebuttal, revision: Some flexible features of peer review.Donald B. Rubin - 1982 - Behavioral and Brain Sciences 5 (2):236-237.
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  • The logic of representation.William W. Rozeboom - 1982 - Behavioral and Brain Sciences 5 (3):385-386.
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  • Explaining diversity and searching for general processes: Isn't there a middle ground?Paul Rozin - 1981 - Behavioral and Brain Sciences 4 (1):157-158.
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  • What Scientific Progress Is Not: Against Bird’s Epistemic View.Darrell Patrick Rowbottom - 2010 - International Studies in the Philosophy of Science 24 (3):241-255.
    This paper challenges Bird’s view that scientific progress should be understood in terms of knowledge, by arguing that unjustified scientific beliefs (and/or changes in belief) may nevertheless be progressive. It also argues that false beliefs may promote progress.
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  • The myth of 'scientific method' in contemporary educational research.Darrell Patrick Rowbottom & Sarah Jane Aiston - 2006 - Journal of Philosophy of Education 40 (2):137–156.
    Whether educational research should employ the ‘scientific method’ has been a recurring issue in its history. Hence, textbooks on research methods continue to perpetuate the idea that research students ought to choose between competing camps: ‘positivist’ or ‘interpretivist’. In reference to one of the most widely referred to educational research methods textbooks on the market—namely Research Methods in Education by Cohen, Manion, and Morrison—this paper demonstrates the misconception of science in operation and the perversely false dichotomy that has become enshrined (...)
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  • Piagetian epistemology: Equilibration and the teaching of science.Jack A. Rowell - 1989 - Synthese 80 (1):141 - 162.
    That Piagetian epistemology has the dynamics of knowledge growth as its core consideration predetermines a need to consider it as potentially applicable to teaching. This paper addresses that need by first outlining the Piagetian theory of equilibration and then applying it to the construction of methods of teaching science.
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  • Toward openness and fairness in the review process.Byron P. Rourke - 1991 - Behavioral and Brain Sciences 14 (1):161-161.
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  • Recovering Thomas Kuhn.Joseph Rouse - 2013 - Topoi 32 (1):59-64.
    The interpretive plasticity of Kuhn’s philosophical work has been reinforced by readings informed by other philosophical, historiographic or sociological projects. This paper highlights several aspects of Kuhn’s work that have been neglected by such readings. First, Kuhn’s early contribution to several subsequent philosophical developments has been unduly neglected. Kuhn’s postscript discussion of “exemplars” should be recognized as one of the earliest versions of a conception of theories as “mediating models.” Kuhn’s account of experimental practice has also been obscured by readings (...)
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  • Will the argument for abstracta please stand up?Alexander Rosenberg - 1988 - Behavioral and Brain Sciences 11 (3):526.
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  • The significance test controversy.R. D. Rosenkrantz - 1973 - Synthese 26 (2):304 - 321.
    The pre-designationist, anti-inductivist and operationalist tenor of Neyman-Pearson theory give that theory an obvious affinity to several currently influential philosophies of science, most particularly, the Popperian. In fact, one might fairly regard Neyman-Pearson theory as the statistical embodiment of Popperian methodology. The difficulties raised in this paper have, then, wider purport, and should serve as something of a touchstone for those who would construct a theory of evidence adequate to statistics without recourse to the notion of inductive probability.
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  • Thesis and antithesis: S-R levers or meaning-perceivers?Ted L. Rosenthal - 1979 - Behavioral and Brain Sciences 2 (2):181-181.
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  • Some indices of the reliability of peer review.Robert Rosenthal - 1991 - Behavioral and Brain Sciences 14 (1):160-161.
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  • Rejecting published work: Similar fate for fiction.Chuck Ross - 1982 - Behavioral and Brain Sciences 5 (2):236-236.
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  • Reliability and bias in peer-review practices.Robert Rosenthal - 1982 - Behavioral and Brain Sciences 5 (2):235-236.
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  • Is there really “juggling,” “artifice,” and “trickery” in Genes, Mind, and Culture?Alexander Rosenberg - 1987 - Behavioral and Brain Sciences 10 (1):80-82.
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  • Eidetic imagery is not a ghost.Paul A. Roodin & Erol F. Giray - 1979 - Behavioral and Brain Sciences 2 (4):614-615.
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  • Sources of Wilhelm Johannsen’s Genotype Theory.Nils Roll-Hansen - 2009 - Journal of the History of Biology 42 (3):457-493.
    This paper describes the historical background and early formation of Wilhelm Johannsen's distinction between genotype and phenotype. It is argued that contrary to a widely accepted interpretation his concepts referred primarily to properties of individual organisms and not to statistical averages. Johannsen's concept of genotype was derived from the idea of species in the tradition of biological systematics from Linnaeus to de Vries: An individual belonged to a group - species, subspecies, elementary species - by representing a certain underlying type. (...)
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  • Sources of Wilhelm Johannsen’s Genotype Theory.Nils Roll-Hansen - 2009 - Journal of the History of Biology 42 (3):457-493.
    This paper describes the historical background and early formation of Wilhelm Johannsen's distinction between genotype and phenotype. It is argued that contrary to a widely accepted interpretation his concepts referred primarily to properties of individual organisms and not to statistical averages. Johannsen's concept of genotype was derived from the idea of species in the tradition of biological systematics from Linnaeus to de Vries: An individual belonged to a group - species, subspecies, elementary species - by representing a certain underlying type. (...)
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  • Representations and cognition.H. L. Roitblat - 1982 - Behavioral and Brain Sciences 5 (3):394-406.
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  • How to build a mind.H. L. Roitblat - 1988 - Behavioral and Brain Sciences 11 (3):525.
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  • Is unreliability in peer review harmful?Henry L. Roediger - 1991 - Behavioral and Brain Sciences 14 (1):159-160.
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  • Underdetermination and the Social Side of Science.James Robert Brown - 1995 - Dialogue 34 (1):147-.
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  • The visualization continuum.Cynthia Roberts-Gray - 1979 - Behavioral and Brain Sciences 2 (4):614-614.
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  • Premature closure of controversial issues concerning animal memory representations.William A. Roberts - 1982 - Behavioral and Brain Sciences 5 (3):384-385.
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  • Optimality as a prescriptive tool.Alexander H. G. Rinnooy Kan - 1991 - Behavioral and Brain Sciences 14 (2):230-231.
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  • Eidetic imagery, occipital EEG activity, and palinopsia.Alan Richardson - 1979 - Behavioral and Brain Sciences 2 (4):613-613.
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  • Known general principles of learning cannot be ignored.Sam Revusky - 1981 - Behavioral and Brain Sciences 4 (1):156-157.
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  • Taking the rationality out of probabilistic models.Bob Rehder - 2011 - Behavioral and Brain Sciences 34 (4):210-211.
    Rational models vary in their goals and sources of justification. While the assumptions of some are grounded in the environment, those of others are induced and so require more traditional sources of justification, such as generalizability to dissimilar tasks and making novel predictions. Their contribution to scientific understanding will remain uncertain until standards of evidence are clarified.
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  • Measuring the plausibility of explanatory hypotheses.James A. Reggia - 1989 - Behavioral and Brain Sciences 12 (3):486-487.
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  • Explanatory coherence in understanding persons, interactions, and relationships.Stephen J. Read & Lynn C. Miller - 1989 - Behavioral and Brain Sciences 12 (3):485-486.
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