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Profile: Gurol Irzik
  1. Gürol Irzık & Gurol Irzik (2013). Commercialisation and Commodification of Science: Educational Responses (Thematic Issue). Science and Education 22 (10).
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  2. Gürol Irzık & Gurol Irzik, Introduction: Commercialization of Academic Science and a New Agenda for Science Education.
    Certain segments of science are becoming increasingly commercialized. This article discusses the commercialization of academic science and its impact on various aspects of science. It also aims to provide an introduction to the articles in this special issue. I briefly describe the major factors that led to this phenomenon, situate it in the context of the changing social regime of science and give a thumbnail sketch of its costs and benefits. I close with a general discussion of how the topic (...)
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  3. Gürol Irzık & Gurol Irzik, Karl Raimund Popper.
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  4. Gürol Irzık & A. Faik Kurtulmuş (2013). Votes and Lab Coats: Democratizing Scientific Research and Science Policy. [REVIEW] Metascience 22 (1):45-61.
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  5. Gürol Irzik (2012). 2 Kuhn and Logical Positivism. In Vasō Kintē & Theodore Arabatzis (eds.), Kuhn's the Structure of Scientific Revolutions Revisited. Routledge. 15.
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  6. Gürol Irzık (2011). Hans Reichenbach in Istanbul. Synthese 181 (1):157 - 180.
    Fleeing from the Nazi regime, along with many German refugees, Hans Reichenbach came to teach at Istanbul University in 1933, accepting the invitation of the Turkish government and stayed in Istanbul until 1938. While much is known about his work and life in Istanbul, the existing literature relies mostly on his letters and works. In this article I try to shed more light on Reichenbach's scholarly activities and personal life by also taking into account the Turkish sources and the academic (...)
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  7. Gürol Irzık & Elliott Sober (2011). Introduction to the Synthese Special Issue on Hans Reichenbach, Istanbul, and Experience and Prediction. Synthese 181 (1):1-2.
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  8. Gürol Irzik (2010). Why Should Philosophers of Science Pay Attention to the Commercialization of Academic Science? In M. Dorato M. Suàrez (ed.), Epsa Epistemology and Methodology of Science. Springer. 129--138.
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  9. Gurol Irzik (2008). Critical Rationalism. In Stathis Psillos Martin Curd (ed.), The Routledge Companion to Philosophy of Science.
     
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  10. Gürol Irzik (2007). Science and its Discontents. The Proceedings of the Twenty-First World Congress of Philosophy 13:147-161.
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  11. Berna Kilinç, Gürol Irzik & Stephen Voss (eds.) (2007). Logic and Philosophy of Science. Proceedings of the Twenty-First World Congress of Philosophy.
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  12. Stephen Voss, Berna Kilinç & Gürol Irzik (2007). Volume Introduction. The Proceedings of the Twenty-First World Congress of Philosophy 5:11-13.
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  13. Gurol Irzik (2003). Changing Conceptions of Rationality. In Paolo Parrini, Wes Salmon & Merrilee Salmon (eds.), Logical Empiricism: Historical and Contemporary Perspectives. Pittsburgh University Pres. 325.
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  14. Gürol Irzik & Sibel Irzik (2002). Which Multiculturalism? Science and Education 11 (4):393-403.
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  15. Gurol Irzik (2001). Book Review:The Road Since Structure Thomas S. Kuhn, J. Conant, J. Haugeland. [REVIEW] Philosophy of Science 68 (4):573-.
  16. Gürol Irzik (2001). Back to Basics: A Philosophical Critique of Constructivism. Studies in Philosophy and Education 20 (2):157-175.
  17. Gurol Irzik (2001). Universalism, Multiculturalism, and Science Education. Science Education 85 (1):71-73.
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  18. Corrado Sinigaglia, Roberta Lanfredini & Gürol Irzik (2000). Discussione su "Dogma contro critica" di Thomas S. Kuhn. Iride 13 (3):625-648.
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  19. Ayşe Buğra & Gürol Irzik (1999). Human Needs, Consumption, and Social Policy. Economics and Philosophy 15 (02):187-.
  20. Gürol Irzik (1996). Can Causes Be Reduced to Correlations? British Journal for the Philosophy of Science 47 (2):249-270.
    This paper argues against Papineau's claim that causal relations can be reduced to correlations and defends Cartwright's thesis that they can be nevertheless boot-strapped from them, given sufficiently rich causal background knowledge.
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  21. Gürol Irzik & Teo Grünberg (1995). Carnap and Kuhn: Arch Enemies or Close Allies? British Journal for the Philosophy of Science 46 (3):285-307.
    We compare Carnap's and Kuhn's views on science. Although there are important differences between them, the similarities are striking. The basis for the latter is a pragmatically oriented semantic conventionalist picture of science, which suggests that the view that post-positivist philosophy of science constitutes a radical revolution which has no interesting affinities with logical positivism must be seriously mistaken.
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  22. Gurol Irzik (1992). Cartwright, Capacities, and Probabilities. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1992:239 - 250.
    I argue that Nancy Cartwright's largely methodological arguments for capacities and against Hume's regularity account of causation are only partially successful. They are especially problematic in establishing the primacy of singular causation and the reality of mixed-dual capacities. Therefore, her arguments need to be supported by ontological ones, and I propose the propensity interpretation of causal probabilities as a natural way of doing this.
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  23. Gürol Irzik (1991). Armstrong's Account of Probabilistic Laws. Analysis 51 (4):214 - 217.
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  24. Gurol Irzik (1990). Singular Causation and Law. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1990:537 - 543.
    Humean accounts of law are at the same time accounts of causation. Accordingly, since laws are nothing but contingent cosmic regularities, to be a cause is just to be an instance of such a law. Every particular cause-effect pair, according to these accounts, instantiates some law of nature. I argue that this claim is false. Singular causation without being governed by any law is logically and physically possible. Separating causes from laws enables us to see the distinct role each plays (...)
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  25. Gurol Irzik & Eric Meyer (1987). Causal Modeling: New Directions for Statistical Explanation. Philosophy of Science 54 (4):495-514.
    Causal modeling methods such as path analysis, used in the social and natural sciences, are also highly relevant to philosophical problems of probabilistic causation and statistical explanation. We show how these methods can be effectively used (1) to improve and extend Salmon's S-R basis for statistical explanation, and (2) to repair Cartwright's resolution of Simpson's paradox, clarifying the relationship between statistical and causal claims.
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  26. Gurol Irzik (1986). Causal Modeling and the Statistical Analysis of Causation. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:12 - 23.
    Recent philosophical studies of probabilistic causation and statistical explanation have opened up the possibility of unifying philosophical approaches with causal modeling as practiced in the social and biological sciences. This unification rests upon the statistical tools employed, the principle of common cause, the irreducibility of causation to statistics, and the idea of causal process as a suitable framework for understanding causal relationships. These four areas of contact are discussed with emphasis on the relevant aspects of causal modeling.
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  27. Gürol Irzik (1986). Probabilistic Metaphysics. Teaching Philosophy 9 (2):178-180.
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  28. Gürol Irzik (1985). Popper's Piecemeal Engineering: What is Good for Science is Not Always Good for Society. British Journal for the Philosophy of Science 36 (1):1-10.
  29. Gürol Irzık, Gurol Irzik & Robert Nola, A Family Resemblance Approach to the Nature of Science for Science Education.
    Although there is universal consensus both in the science education literature and in the science standards documents to the effect that students should learn not only the content of science but also its nature, there is little agreement about what that nature is. This led many science educators to adopt what is sometimes called “the consensus view” about the nature of science (NOS), whose goal is to teach students only those characteristics of science on which there is wide consensus. This (...)
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