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A Visible Hand in the Marketplace of Ideas: Precision Measurement as Arbitage

Published online by Cambridge University Press:  26 September 2008

Philip Mirowski
Philip Mirowski
Affiliation:
Department of EconomicsUniversity of Notre Dame
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Abstract

While there has been muchattention given to experiment in modern science studies, there has been astoundingly little concern spared over the practice of quanitataive measurment.Thus myths about the unreasonable effectiveness of mathematice in science still abound. This paper presents: (a) An explicit mathematical model of the stabilization of quantitative constants in a mathematical science to rival older Bayesian and classical accounts;(b)a framework for writing a history of pracitces with regard to treatment of quantitative measurement erroe;(c) resourece for the comparative sociology of differing discipliness in this regard;and (d) a prolegonmena to a critique of orthodox economics and accounting theories. The key to all these diverse themes is the realization that no one individual alone is capable of fixing the magnitude of a quantitative error estimate, and therefore the social construction of error must be given a more precise meaning, an therefore the social construction of error must be given a more precise menaing, and that this occurs through the istrumentality of meta-analysis

Type
Article
Information
Science in Context , Volume 7 , Issue 3 , Autumn 1994 , pp. 563 - 589
Copyright
Copyright © Cambridge University Press 1994

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References

Bersteni, peter 1992 capital Ideas New york Free press.Google Scholar
Birge, Raymond 1929“Probale values of the General physical constants.” physical Review supplemement 1:1–73.Google Scholar
Birge, Raymond 1932“Probable values of e, h, e/m and a.” physical Review 40:228–261.CrossRefGoogle Scholar
Birge, Raymond 1939 The propagation of error American physics Teacher 7:351–57.CrossRefGoogle Scholar
Birge, Raymond 1945“The 1944 values of certain Atomic constants.” American journal of physics 13:63–73.CrossRefGoogle Scholar
Birge, Raymond 1957“Asurvey of systematic Evaluation of the Universal physical constants” Nuovo Cimento, supp. 6:39–67.CrossRefGoogle Scholar
Bourdieu, pierre 1975 The specificity of the scientific Field social seience Information 14:19–47.CrossRefGoogle Scholar
cartwright, Nancy 1989. Nature's Capacities and Their Measurement Oxford Oxford University PressGoogle Scholar
Cohen, E. R.,Crowe, K, and Dumond, J. 1957. The Fundamental Constants of Physics New york: Interscience.Google Scholar
chohen, E. R., and Taylor, B. 1987. “The 1986 Adjustment of the Fundamental Physical Constants” Reviews of Modern Physics 59:1121–48.CrossRefGoogle Scholar
Collins, Harry. 1985. Changing Order. London: Sage.Google Scholar
Dastona, Lorraine. 1992. “Objectivity and the Escape from Perspective” Social Studies of Science 22:597–618.CrossRefGoogle Scholar
Daumas, Maurice. 1963. “Precision of Measurement and Physical and Chemical Research in the Eighteenth Century.” In Scientific Change, Crombie, A. C. London: Heinemann.Google Scholar
de Finetti, Bruno. 1974. Theory of Probability. New york: Wiley.Google Scholar
Duhem, Pierre. 1977. The Aim and Structure of Physical Theory. New York: Atheneum.Google Scholar
Earman, John. 1992. Bayes or Bust. Cambridge, Mass: MIT Press.Google Scholar
Ellerman, David. 1984. “Arbitrage Theory:A Mathematical Introduction.” SIAM Review 26:241–61.CrossRefGoogle Scholar
Farmer, J. D. 1991. “A Rosetta Stone for Connectionsim.”In Emergent Computation, edited by Forrest, S Cambridge, Mass.: MIT Press.Google Scholar
Frängsmyr, T. Heilbron, J. L., and Robin, Rider, eds. 1990. The Quantifying Spirt in the Eighteenth Century. Berkeley: University of California Press.CrossRefGoogle Scholar
Frank, R.,Gilovich, T, and Regen, D. 1993.“Doed Studying Economics Inhibit Cooperation?” Journal of Economic Perspectives 7:159–71.CrossRefGoogle Scholar
Franklin, Allen. 1986. The Neglect of Experiment. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Franklin, Allen. 1990. Experiment Right or Wrong. New York: Cambridge University Press.CrossRefGoogle Scholar
Gigerenzer, Gerd, and David, Murray. 1987. Cognition as Intuitive Statistics. Hillsdale, N.J.: Erlbaum.Google Scholar
Goldman, Alvin. 1992. Liaisons. Cambridge, Mass.: MIT press.Google Scholar
Gooday, Graeme. 1990. “Precision Measurement and the Genesis of physics Teaching Laboratories” British Journal for the History of Science 23:25–51.CrossRefGoogle Scholar
Gooday, Graeme. 1992. “The Morals of Measurement: Precision and Constancy in Late Victorian Physics.” paper presented at the December 1992 meeting of HES.Washington, DC.Google Scholar
Gooding, David. 1990. Experiment and the Making of Meaning. Boston: Kluwer.CrossRefGoogle Scholar
Gooding, D. pinch, T and schaffer, S. 1989. The uses of Experiment cambridge cambridge university press.Google Scholar
Hands, wade. 1994. “The Sociology of Scientific Knowledge and Economics.”In New Perspectives in the Methodology of Economics, edited by Roger, Back-house. London: Routledge.Google Scholar
Hands, wade. Forthcoming. “Blurreds Boundaries: Recent Changes in the Relationship Between Economics and the Philosophy of Natural Science.” Studies in the History and Philosophy of Scinence.Google Scholar
Hedges, Larry. 1987.“How Hars Is Hard Science, How Soft Is Soft Science?” American Psychologist 42:443–55.CrossRefGoogle Scholar
Helmholz, Carl. 1990.“Raymond Thayer Birge. ”In Biographical Memoirs of the National Academy of Science, 59:73–84.Google Scholar
Henrion, Max and Baruch Fischoff. 1986.“Assessing Uncertainty in Physical Constants” Americal Journal of Physics 54:791–97.CrossRefGoogle Scholar
Holton, Gerald. 1978. The Scientific Imagination. New York: Cambridge University Press.Google Scholar
Hon, Giora. 1989.“Towards a Typology of Experimental Errors.” Studies in the History and Philosophy of Science 20:469–504.CrossRefGoogle Scholar
Howson, Colin, and Peter, Urbach. 1989. Scinentific Reasoning. La Salle: Open Court.Google Scholar
Kahneman, D., slovic, P, and Tversky, A, eds. 1982. Judgements under Uncertainty. New York: Cambridge University Press.CrossRefGoogle Scholar
Kitcher, Philip. 1993. The Advancement of Science. New York: Oxford University Press.Google Scholar
Khun, Thomas. 1977. The Essential Tension. Chicago: University of Chicago Press.CrossRefGoogle Scholar
Kyburg, Henry. 1992. “Measuring Errors of Measurment.”In Philosophical and Foundational Issues in Measurement Throry, edited by Savage, C. and P/Ehrilich, . Hillsdale, N.J.: Erlbaum.Google Scholar
Langenberg, D., and Taylor, B. 1971. Precision Measurement and the Fundamental Constants. Washington: USGPO.CrossRefGoogle Scholar
Latour, Bruno. 1987. Scinence in Action. Cambridge, Mass.: Harvard University PressGoogle Scholar
Latour, Bruno. 1993. We Have Never Been Modern. Cambridge, Mass.: Harvard University Press.Google Scholar
Latour, Bruno, and Steve, Woolgar. 1986. Labaratory Life. Princeton, N.J.: Princeton University Press.Google Scholar
Mackenzie, Donald. 1991. Inventing Accuracy. Cambridge, Mass.: MIT Press.Google Scholar
Mayo, Deborah. 1985.“Behavioralistic, Evidentialist, and Learning Models of Statistical Testing.” Philosophy of Science 52:493–516.CrossRefGoogle Scholar
Mayo, Deborah. 1992.“Did Pearson Reject the Neyman-Pearson Philosophy of Statistics?” Synthese 90:233–62.CrossRefGoogle Scholar
Mendoza, Eric. 1990.“Delaroche and Berard and Experimental Error.” British Journal for the History of Science 23:285–91.CrossRefGoogle Scholar
Mirowski, Philip. 1989. More Heat Then Light. New York: Cambridge University Press.CrossRefGoogle Scholar
Mirowski, Philip. 1990.“From Mandelbrot to Chaos in Economic Theory.” Southern Economic Journal 57:289–307.CrossRefGoogle Scholar
Mirowski, Philip. 1991.“Postmodernism and the Social Theory of Value.” Journal of Post Keynesian Economics 13:565–82.CrossRefGoogle Scholar
Mirowski, Philip. 1992.“Looking for Those Natural Numbers.” Scince in Context 5:165–88.CrossRefGoogle Scholar
Mirowski, Philip. 1993. “Unholy History of Error.” Notre Dame Working Paper.Google Scholar
Mirowski, Philip. 1994. “Arbitrage, Symmetries and the Social Theory of Value.”In New Directions in Analytical Political Economy edited by Amitava, Dutt. Cheltenham: Edward Elgar.Google Scholar
Forthcoming.“Three Ways of Thinking about Testing in Econometrics”.Google Scholar
Mirowaki, Philip, and Steven, Sklivas. 1991.“Why Econometricians Don't Replicate(Although They Do Reproduce).” Review of Political Economy 3 146–63.CrossRefGoogle Scholar
Morgan, Mary. 1990. A History of Econometrics. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
o'Connell, Joseph. 1993.“Metrology:The Creation of University by the Circulation of Particulars.” Social Studies of Science 23 129–74.CrossRefGoogle Scholar
Olesko, Katheryn. 1988. “Michelson and the Reform of Physics Instruction” In The Michelson Era in American Physics, edited by Goldberg, S and Stuewer, R. New York: American Institute of Physics.Google Scholar
Olesko, Katheryn. 1991. Physics as a calling. Ithaca, N.Y.: Cornell University Press.Google Scholar
Petley, Brian 1985. The Fundamental Physical Constants and the Frontiers of Measurement. Bristol: Adam Hilger.Google Scholar
Pickering, Edward. 1873. Elements of Physical Manipulation. Boston: Houghton Mifflin.Google Scholar
Porter, Theodore. 1986. The Rise of Statistical Thinking. Princeton, N.J.: Princeton University Press.Google Scholar
Porter, Theodore. 1992.“Objectivity as Standardization.” Annals of Scholarship 9:19–59.Google Scholar
Radnitzsky, G., and Bernholz, P, eds 1987. Economic Imperialism. New York: Paragon.Google Scholar
Rosenfeld, Arthur. 1975.“The Particle Data Group.” In Annual Review of Nuclear Science 25.:555–598.CrossRefGoogle Scholar
serres, Michel. 1982. The parasite. Baltimore: Johns Hopkins University Press.Google Scholar
Shapin, Steven. 1991.“The Mind in Its Own Place.” Science in Context 4:191–218.CrossRefGoogle Scholar
Shapin, S., and Schaffer, S. 1985. Leviathen and the Air pump. Princeton, N.J.: Princeton University Press.Google Scholar
Smith, C. and Wise, N. 1989. Energy and Empire. New York Cambridge University Press.Google Scholar
Stansfield, Ronald. 1990. “Could We Repeat It?”In Physicists Look Back edited byJohn, Rocke. Bristol: Adam Hilger.Google Scholar
Stigler, Stephen. 1986. A History of Statistics. Cambridge, Mass.:Harvard University Press.Google Scholar
Swijtink, Zeno. 1987. “The Objectification of Observation.”In the Probabilistic Revolution, vol. 1, edited by Kruger, L et al. Cambridge, Mass.:MIT Press.Google Scholar
Taylor, B., and Phillips, W, eds. 1984. Precision Measurement and Fundamental Constants II. Washington, D.C.: National Bureau of Standarsds, Special Publication no 617.CrossRefGoogle Scholar
Tilling, Laura. 1973. “The Interpretation of Observational Erros in the Eighteenth and Early Nineteenth Centuries.”. Ph.D. diss., University of London.Google Scholar
van Helden, Albert. 1983.“Roemer's Speed of Light.” Journal of the History of Astronomy 14;137–41.CrossRefGoogle Scholar
Wise, M. N., ed. Forthcoming. The values of Precision, Princeton. Princeton, N.J.: Princeton University Press.Google Scholar
Youden, W. 1972.“Enduring Values.” Technometrics 14:1–11.CrossRefGoogle Scholar
Zolatarev, V. 1986. One-Dimensioal Stable Distributions.AMS Translation No. 65. Providence, R.I.: Americam Mathematical Society.CrossRefGoogle Scholar