Les valeurs dans la representation scientifique
DOI:
https://doi.org/10.20416/LSRSPS.V10I1.3Keywords:
Valeurs, Représentation scientifiqueAbstract
The aim of this article is to examine the role played by values in representational activities in science, in particular in model construction and use. The analysis is based on a distinction between concrete and abstract representation. A hierachical model is proposed. The conclusion is that the influence of social values in scientific representation depends on the level of abstraction considered. It is only problematic if local values are used to evaluate more general representations.
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Woodward, James. 2003. Making Things Happen: a Theory of Causal Explanation. Oxford studies in philosophy of science. New York: Oxford University Press.
Barberousse, Anouk, et Pascal Ludwig. 2009. « Models as Fictions ». In Fictions in Science: Philosophical Essays on Modeling and Idealization, édité par Mauricio Suárez, 56‑73. Routledge.
Boesch, Brandon. 2017. « There Is a Special Problem of Scientific Representation ». Philosophy of Science 84 (5): 970‑81. https://doi.org/10.1086/693989.
Bokulich, Alisa. 2011. « How Scientific Models Can Explain ». Synthese 180 (1): 33‑45. https://doi.org/10.1007/s11229-009-9565-1.
Callender, Craig, et Jonathan Cohen. 2006. « There Is No Special Problem About Scientific Representation ». Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 21 (1): 67‑85. https://doi.org/10.1387/theoria.554.
Douglas, Heather E. 2009. Science, policy, and the value-free ideal. Pittsburgh, Pa: University of Pittsburgh Press.
Elliott, Kevin C., et Daniel J. McKaughan. 2014. « Nonepistemic Values and the Multiple Goals of Science ». Philosophy of Science 81 (1): 1‑21. https://doi.org/10.1086/674345.
Fraassen, Bas van. 1980. The Scientific Image. Oxford University Press.
———. 2008. Scientific Representation: Paradoxes of Perspective. Oxford University Press.
Frigg, Roman. 2010. « Models and Fiction ». Synthese 172 (2): 251‑68. https://doi.org/10.1007/s11229-009-9505-0.
Frigg, Roman, et Stephan Hartmann. 2006. « Models in Science ». In The Stanford Encyclopedia of Philosophy, édité par Edward N. Zalta. Stanford.
Giere, Ronald. 1997. Explaining Science: a Cognitive Approach. 4. reprint. Science and its conceptual foundations series. The Univ. of Chicago Press.
———. 2003. « A New Program for Philosophy of Science? » Philosophy of Science 70 (1): 15‑21. https://doi.org/10.1086/367865.
———. 2004. « How Models are Used to Represent Reality ». Philosophy of Science 71 (5): 742‑52.
Hughes, Richard. 1997. « Models and Representation ». Philosophy of Science 64: S325--S336. https://doi.org/10.1086/392611.
Jebeile, Julie, et Anouk Barberousse. 2016. « Empirical Agreement in Model Validation ». Studies in History and Philosophy of Science Part A 56 (avril): 168‑74. https://doi.org/10.1016/j.shpsa.2015.09.006.
Kincaid, Harold, John Dupré, et Alison Wylie. 2007. Value-Free Science? Oxford University Press. https://doi.org/10.1093/acprof:oso/9780195308969.001.0001.
Kuhn, Thomas. 1962. The Structure of Scientific Revolutions. Chicago: University of Chicago Press.
Kuhn, Thomas S. 1977. « Objectivity, Value Judgment, and Theory Choice ». In The Essential Tension: Selected Studies in Scientific Tradition and Change, 320--39. University of Chicago Press.
Levy, Arnon. 2015. « Modeling Without Models ». Philosophical Studies 172 (3): 781--798. https://doi.org/10.1007/s11098-014-0333-9.
Liu, Chuang. 2015. « Re-Inflating the Conception of Scientific Representation ». International Studies in the Philosophy of Science 29 (1): 41--59. https://doi.org/10.1080/02698595.2014.979671.
Longino, Helen. 1996. « Cognitive and Non-Cognitive Values in Science: Rethinking the Dichotomy ». In Feminism, Science, and the Philosophy of Science, édité par Lynn Hankinson Nelson et Jack Nelson, 39--58. Kluwer Academic Publishers.
Morgan, Mary, et Margaret Morrison. 1999. Models as Mediators: Perspectives on Natural and Social Science. Cambridge University Press.
Myrvold, Wayne C. 2003. « A Bayesian Account of the Virtue of Unification ». Philosophy of Science 70 (2): 399--423. https://doi.org/10.1086/375475.
———. 2017. « On the Evidential Import of Unification ». Philosophy of Science 84 (1): 92‑114. https://doi.org/10.1086/688937.
Rice, Collin. 2021. « Understanding Realism ». Synthese 198 (5): 4097‑4121. https://doi.org/10.1007/s11229-019-02331-5.
Ruphy, Stéphanie. 2006. « Empiricism All the Way down: A Defense of the Value-Neutrality of Science in Response to Helen Longino’s Contextual Empiricism ». Perspectives on Science 14 (2): 189‑214. https://doi.org/10.1162/posc.2006.14.2.189.
Suárez, Mauricio. 2004. « An Inferential Conception of Scientific Representation ». Philosophy of Science 71 (5): 767‑79. https://doi.org/10.1086/421415.
Toon, Adam. 2010. « Models as Make-Believe ». In Beyond Mimesis and Convention: Representation in Art and Science, édité par Roman Frigg et Matthew Hunter. Boston Studies in Philosophy of Science.
Vorms, Marion, et Ulrike Hahn. 2021. « In the Space of Reasonable Doubt ». Synthese 198 (S15): 3609‑33. https://doi.org/10.1007/s11229-019-02488-z.
Wang, Zhong Lin, et Aurelia Chi Wang. 2019. « On the Origin of Contact-Electrification ». Materials Today 30 (novembre): 34‑51. https://doi.org/10.1016/j.mattod.2019.05.016.
Woodward, James. 2003. Making Things Happen: a Theory of Causal Explanation. Oxford studies in philosophy of science. New York: Oxford University Press.
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Published
2023-12-15
How to Cite
Ruyant, Quentin. 2023. “Les Valeurs Dans La Representation Scientifique”. Lato Sensu: Revue De La Société De Philosophie Des Sciences 10 (1):24-38. https://doi.org/10.20416/LSRSPS.V10I1.3.
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