David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
Philosophy and Technology 24 (2):115-136 (2011)
Russo and Williamson (Int Stud Philos Sci 21(2):157–170, 2007) put forward the thesis that, at least in the health sciences, to establish the claim that C is a cause of E, one normally needs evidence of an underlying mechanism linking C and E as well as evidence that C makes a difference to E. This epistemological thesis poses a problem for most current analyses of causality which, in virtue of analysing causality in terms of just one of mechanisms or difference making, cannot account for the need for the other kind of evidence. Weber (Int Stud Philos Sci 23(2):277–295, 2009) has suggested to the contrary that Giere’s probabilistic analysis of causality survives this criticism. In this paper, we look in detail at the case of medical imaging technology, which, we argue, supports the thesis of Russo and Williamson, and we respond to Weber’s suggestion, arguing that Giere’s account does not survive the criticism
|Keywords||Causality Causation Difference making Mechanism Medical imaging|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
George Darby & Jon Williamson (2011). Imaging Technology and the Philosophy of Causality. Philosophy and Technology 24 (2):115-136.
Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.) (2011). Causality in the Sciences. Oxford University Press.
Jon Williamson (2009). Probabilistic Theories of Causality. In Helen Beebee, Peter Menzies & Christopher Hitchcock (eds.), The Oxford Handbook of Causation. Oxford University Press 185--212.
Robert Rosenberger (2009). Quick-Freezing Philosophy: An Analysis of Imaging Technologies in Neurobiology. In Jan Kyrre Berg Olsen Friis, Evan Selinger & Søren Riis (eds.), New Waves in Philosophy of Technology. Palgrave Macmillan
Charles B. Cross (2000). A Characterization of Imaging in Terms of Popper Functions. Philosophy of Science 67 (2):316-338.
Federica Russo & Jon Williamson (2007). Interpreting Causality in the Health Sciences. International Studies in the Philosophy of Science 21 (2):157 – 170.
Jon Williamson (2006). Dispositional Versus Epistemic Causality. Minds and Machines 16 (3):259-276.
Yahya Yasrebi (2007). A Critique of Causality in Islamic Philosophy. Topoi 26 (2):255-265.
Jon Williamson (2007). Interpreting Causality in the Health Sciences. International Studies in the Philosophy of Science 21 (2):157-170.
Robert Albritton (2008). Marxian Crisis Theory and Causality. In Ruth Groff (ed.), Revitalizing Causality: Realism About Causality in Philosophy and Social Science. Routledge
Geoff Crocker (2012). A Managerial Philosophy of Technology: Technology and Humanity in Symbiosis. Houndmills, Basingstoke, Hampshire ;Palgrave Macmillan.
Kenneth J. Hayworth (2012). Electron Imaging Technology for Whole Brain Neural Circuit Mapping. International Journal of Machine Consciousness 4 (01):87-108.
James R. Kuehl (1970). Perceiving and Imaging. Philosophy and Phenomenological Research 31 (December):212-224.
Added to index2010-10-13
Total downloads27 ( #138,344 of 1,790,186 )
Recent downloads (6 months)12 ( #68,956 of 1,790,186 )
How can I increase my downloads?