Advertisement

Convention Theory, Surveys and Moral Collectives

  • Rainer Diaz-BoneEmail author
Chapter
Part of the Wissen, Kommunikation und Gesellschaft book series (WISSEN)

Zusammenfassung

The contribution approaches methodological problems and issues of philosophy of science from the perspective of economics of convention (EC, also named convention theory). EC is part of the new French pragmatic social sciences, which recombine the two megaparadigms structuralism and pragmatism in a new way, making pragmatism again a much stronger influence. Convention theory emphasizes the pragmatic and pluralist normativity of social coordination. For this conventions as logics of interpretation, evaluation and valuation are necessary foundational structures for actors and processes. The contribution introduces the concept of quality conventions and the model of worlds of production. Scientific collectivities, paradigms and scientific movement can be seen as moral collectivities, grounding research and scientific practices on conventions as normative orders. This way, convention theory links data to values and measurement to normativities, instead of separating them. EC is then applied to problems of measurement, quantification, categorization and the coordination of survey, arguing that these are based on conventions. Also big data as phenomena is discussed from EC’s perspective.

Schlüsselwörter

Economics of convention Quality convention Worlds of production Methodology Measurement National statistical institutes Survey research Big data 

Literatur

  1. Bachelard, Gaston (1934): La formation de l’esprit scientifique. Contribution à une psychanalyse de la connaissance objective. Paris: Presses Universitaires de France.Google Scholar
  2. Batifoulier, Philippe/Bessis, Franck/Ghirardello, Ariane/Larquier, Guillemette de/Remillion, Delphine (eds.) (2016): Dictionnaire des conventions. Autour des travaux d’Olivier Favereau. Villeneuve-d’Ascq: Presses Universitaires du Septentrion.Google Scholar
  3. Biemer, Paul P./de Leeuw, Edith/Eckman, Stephanie/Edwards, Brad/Kreuter, Frauke/Lyberg, Lars E. /Tucker, N. Clyde/West, Brady T. (eds.) (2017): Total survey error in practice. New York: Wiley.Google Scholar
  4. Boltanski, Luc (1987): The making of a class. Cadres in French society. Cambridge: Cambridge University Press.Google Scholar
  5. Boltanski, Luc/Chiapello, Eve (2007): the new spirit of capitalism. London: Verso.Google Scholar
  6. Boltanski, Luc/Thévenot, Laurent (1983): Finding one’s way in social space. A study based on games. In: Social Science Information, 22(4/5), 631–680.Google Scholar
  7. Boltanski, Luc/Thévenot, Laurent (2006): On justification. Economies of worth. Princeton: Princeton University Press.Google Scholar
  8. Bowker, Geoffrey/Star, Susan L. (1999): Sorting things out. Classification and its consequences. Cambridge: MIT Press.Google Scholar
  9. Boumans, Marcel (2015): Science outside the laboratory. Measurement in field science and economics. Oxford: Oxford University Press.Google Scholar
  10. Bourdieu, Pierre (1984): Distinction. A social critique of the judgement of taste. Milton Park: Routledge.Google Scholar
  11. Bourdieu, Pierre (2004): Science of science. London: Polity Press.Google Scholar
  12. Bruno, Isabelle/Jany-Catrice, Florence/Touchelay, Béatrice (eds.) (2016): The social science of quantification. From politics of large numbers to target-driven policies. Heidelberg: Springer.Google Scholar
  13. Centemeri, Laura (2012): The contribution of the sociology of quantification to a discussion of objectivity in economics. In: Castro Caldas, José/Neves, Vítor (eds.): Facts, values and objectivity in economics. London: Routledge, 110–125.Google Scholar
  14. Cicourel, Aaron (1964): Method and measurement in sociology. New York: Free Press.Google Scholar
  15. Corcuff, Philippe (2011): Les nouvelles sociologies. 3rd ed. Paris: Armand Collin.Google Scholar
  16. Davies, William (2014): The limits of neoliberalism. Authority, sovereignty, and the logic of competition. London: Sage.Google Scholar
  17. Daviron, Benoit/Ponte, Stefano (2005): The coffee-paradox. Global markets, commodity trade and the elusive promise of development. London: Zed Books.Google Scholar
  18. Desrosières, Alain (1998): The politics of large numbers. A history of statistical reasoning. Cambridge: Harvard University Press.Google Scholar
  19. Desrosières, Alain (2008): Pour une sociologie historique de la quantification. Paris: Presses des Mines.Google Scholar
  20. Desrosières, Alain (2009): How to be real and conventional. A discussion of the quality criteria of official statistics. In: Minerva, 47(3), 307–322.Google Scholar
  21. Desrosières, Alain (2011a): The economics of convention and statistics: The paradox of origins. In: Historical Social Research, 36(4), 64–81.Google Scholar
  22. Desrosières, Alain (2011b): Words and numbers. For a sociology of the statistical argument. In: Saetnan, Ann R./Lomell, Heidi Mork/Hammer, Svein (eds.): The mutual construction of statistics and society. London: Routledge, 41–63.Google Scholar
  23. Desrosières, Alain (2014): Prouver et gouverner. Une analyse politique des statistiques publiques. Paris: La Découverte.Google Scholar
  24. Desrosières, Alain (2015): Retroaction. How indicators feed back onto quantified actors. In: Rottenburg, Richard/Merry Sally E./Park, Sung-Joan/Mugler Johanna (eds.): The world of indicators. The making of governmental knowledge through quantification. Cambridge: Cambridge University Press, 329–53.Google Scholar
  25. Desrosières, Alain/Goy, Alain/Thévenot, Laurent (1983): L’identité sociale dans le travail statistique. La nouvelle nomenclature des professions et catégories socioprofessionnelles. In: Economie et statistique 152, 55–81.Google Scholar
  26. Desrosières, Alain/Thévenot, Laurent (1979): Les mots et les chiffres. Les nomenclatures socioprofessionnelles. In: Economie et statistique 110, 49–65.Google Scholar
  27. Desrosières, Alain/Thévenot, Laurent (2002): Les catégories socioprofessionnelles. 5th ed. Paris: La Découverte.Google Scholar
  28. Dewey, John (1938): Logic. The theory of inquiry. New York: Holt.Google Scholar
  29. Dewey, John (1939): Theory of valuation. Chicago: University of Chicago Press.Google Scholar
  30. Diaz-Bone, Rainer (ed.) (2011a): Soziologie der Konventionen. Grundlagen einer pragmatischen Anthropologie. Frankfurt: Campus.Google Scholar
  31. Diaz-Bone, Rainer (2011b): Die Performativität der Sozialforschung – Sozialforschung als Sozio-Epistemologie. In: Historical Social Research, 36(1), 291–310.Google Scholar
  32. Diaz-Bone, Rainer (2016): Convention theory, classification and quantification. In: Historical Social Research, 41(2), 48–71.Google Scholar
  33. Diaz-Bone, Rainer (2017): Classifications, quantifications and quality conventions in markets – Perspectives of the economics of convention. In: Historical Social Research, 42(1), 238–262.Google Scholar
  34. Diaz-Bone, Rainer (2018): Die „Economie des conventions”. Grundlagen und Entwicklungen der neuen französischen Wirtschaftssoziologie. 2nd ed. Wiesbaden: Springer VS.Google Scholar
  35. Diaz-Bone, Rainer/Salais, Robert (eds.) (2011): Conventions and institutions from a historical perspective. Historical Social Research 37(4), special issue.Google Scholar
  36. Diaz-Bone, Rainer/Salais, Robert (eds.) (2012): The Économie des Conventions – Transdisciplinary discussions and perspectives. Historical Social Research 37(4), focus.Google Scholar
  37. Diaz-Bone, Rainer/Didry, Claude/Salais, Robert (eds.) (2015): Law and conventions from a historical perspective. In: Historical Social Research 40(1), special issue.Google Scholar
  38. Diaz-Bone Rainer/Didier, Emmanuel (eds.) (2016): Conventions and quantification – Transdisciplinary perspectives on statistics and classifications. Historical Social Research 41(2), special issue.Google Scholar
  39. Dillman, Don/Smyth, Jolene D./Christian, Leah Melani (2014): Internet, phone, mail, and mixed-mode surveys. The tailored design method. 4th ed. New York: Wiley.Google Scholar
  40. Dosse, François (1998): The empire of meaning. Humanization of the social sciences. Minneapolis: University of Minnesota Press.Google Scholar
  41. Durkheim, Emile (1950): Leçons de sociologie, physique des moeurs et du droit. Paris: Presses Universitaires de France.Google Scholar
  42. Einav, Liran/Levin, Jonathan (2014): Economics on the age of big data. In: Science, 346 (6210), 715–721.Google Scholar
  43. Eymard-Duvernay, François (ed.) (2006a): L’économie des conventions. Méthodes et résultats. Vol. 1: Débats. Paris: La Découverte.Google Scholar
  44. Eymard-Duvernay, François (ed.) (2006b): L’économie des conventions. Méthodes et résultats. Vol. 2: Développements. Paris: La Découverte.Google Scholar
  45. Ezrachi, Ariel/Stucke, Maurice (2016): Virtual competition. The promise and perils of the algorithm-driven economy. Cambridge: Harvard University Press.Google Scholar
  46. Favereau, Olivier (2012): To move institutional analysis in the right direction. Olivier Favereau interviewed by Rainer Diaz-Bone. In: Economic Sociology. The European Electronic Newsletter, 14(1), 40–46.Google Scholar
  47. Favereau, Olivier/Lazega, Emmanuel (eds.) (2002): Conventions and structures in economic organization. Markets, networks and organizations. Cheltenham: Edward Elgar.Google Scholar
  48. Fourcade, Marion/Healy, Kieran (2013): Classification situations. Life-chances in the neoliberal era. In: Accounting, Organizations and Society, 38(8), 559–72.Google Scholar
  49. Hacking, Ian (1983): Representing and intervening. Introductory topics in the philosophy of natural science. Cambridge: Cambridge University Press.Google Scholar
  50. Hansen, Morris H./Hurwitz, William N./Marks, Eli S./Mauldin, W. Parker (1951): Response errors in surveys. In: Journal of the American Statistical Association, 46(254), 147–190.Google Scholar
  51. Hofstetter, Yvonne (2014): Denn sie wissen alles. Wie intelligente Maschinen in unser Leben eindringen und warum wir für unsere Freiheit kämpfen müssen. München: Bertelsmann.Google Scholar
  52. Hume, David (1978): A treatise of human nature. Oxford: Oxford University Press.Google Scholar
  53. Japec, Lilli/Kreuter, Frauke/Berg, Marcus/Biemer, Paul/Decker, Paul/Lampe, Cliff/Lane, Julia/O’Neil, Cathy/Usher, Abe (2015): Big data in survey research. AAPOR task force report. In: Public Opinion Quarterly, 79(4), 839–80.Google Scholar
  54. Kuhn, Thomas (1962): The structure of scientific revolutions. Chicago: University of Chicago Press.Google Scholar
  55. Lamont, Michèle/Thévenot, Laurent (eds.) (2000): Rethinking comparative cultural sociology. Repertoires of evaluation in France and the United States. Cambridge: Cambridge University Press.Google Scholar
  56. Lazarsfeld, Paul F. (1962): The sociology of empirical social research. In: American Sociological Review, 27(6), 757–767.Google Scholar
  57. Leahey, Erin (2008): Methodological memes and mores. Toward a sociology of social research. In: Annual Review of Sociology 34, 33–53.Google Scholar
  58. Mayer-Schönberger, Viktor/Cukier, Kenneth (2013): Big data. A revolution that will transform how we live, work, and think. London: John Murray Publishers.Google Scholar
  59. O’Neil, Cathy (2016): Weapons of math destruction. How big data increases inequality and threatens democracy. New York: Crown.Google Scholar
  60. Orléan, André (2014): The empire of value. Cambridge: MIT Press.Google Scholar
  61. Orléan, André (ed.) (2004): Analyse économique des conventions. 2nd ed. Paris: Presses Universitaires de France.Google Scholar
  62. Peirce, Charles S. (1877): The fixation of belief. In: Popular Science Monthly 12, 1–15.Google Scholar
  63. Penissat, Etienne/Brousse, Cécile/Deauvieau, Jérôme/Chevillard, Julien/Barozet, Emmanuelle/Mac-Clure, Oscar (2016): From statistical categorizations to ordinary categorizations of social space. History and legacy of an original study based on a card game. In: Historical Social Research, 41(2), 135–154.Google Scholar
  64. Putnam, Hilary (1992): The Permanence of William James. In: Bulletin of the American Academy of Arts and Sciences, 46(3), 17–31.Google Scholar
  65. Putnam, Hilary (2002): The collapse of the fact/value dichotomy. Cambridge: Harvard University Press.Google Scholar
  66. Salais, Robert (1989): L’analyse économique des conventions du travail. In: Revue économique, 40(2), 199–240.Google Scholar
  67. Salais, Robert/Thévenot, Laurent (eds.) (1986): Le travail. Marchés, règles, conventions. Paris: Economica.Google Scholar
  68. Savage, Mike (2010): Identities and social change in Britain since 1940. The politics of method. Oxford: Oxford University Press.Google Scholar
  69. Scheuch, Erwin K. (2003): Marketing oder Marktforschung? Anspruch und Ansprüche. In: Sozialwissenschaften und Berufspraxis, 26(4), 431–441.Google Scholar
  70. Storper, Michael/Salais, Robert (1997): Worlds of production. The action frameworks of the economy. Cambridge: Harvard University Press.Google Scholar
  71. The Economist (2016): Who said Brexit was a surprise? In: The Economist 24th June 2016.Google Scholar
  72. The Economist (2017): Are British pollsters headed towards another miss? What do pollsters know? And how do they know it? In: The Economist 2nd July 2017.Google Scholar
  73. Thévenot, Laurent (1984): Rules and implements. Investment in forms. In: Social Science Information 23(1), 1–45.Google Scholar
  74. Thévenot, Laurent (2001): Organized complexity. Conventions of coordination and the composition of economic arrangement. In: European Journal of Social Theory, 4(4), 405–425.Google Scholar
  75. Tiles, Mary (1984): Bachelard: science and objectivity. Cambridge: Cambridge University Press.Google Scholar
  76. Tourangeau, Roger/Rips, Lance J./Rasinski, Kenneth (2000): The psychology of survey response. Cambridge: Cambridge University Press.Google Scholar
  77. Weber, Max (1978): Economy and society. 2 vols. Berkeley: University of California Press.Google Scholar
  78. Weber Max (1985): Die „Objektivität“ sozialwissenschaftlicher und sozialpolitischer Erkenntnis. In: Weber, Max: Gesammelte Aufsätze zur Wissenschaftslehre. Tübingen: J.C.B. Mohr, 146–148.Google Scholar
  79. Weisberg, Herbert F. (2005): The total survey error approach. A guide to the new science of survey research. Chicago: University of Chicago Press.Google Scholar

Copyright information

© Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature 2019

Authors and Affiliations

  1. 1.Soziologisches SeminarUniversität LuzernLuzernSchweiz

Personalised recommendations