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The Fairly Good Economy: Testing The Economization Of Society Hypothesis Against A Google Ngram View Of Trends In Functional Differentiation (1800-2000)

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  • Steffen Roth

    (ESC Rennes School of Business - ESC [Rennes] - ESC Rennes School of Business)

Abstract

The present article considers the economization of society a hypothesis rather than a fact. The hypothesis is tested against the results of a Google ngram viewer analysis of the most frequent function system references in the Google Books corpus for the years 1800-2000. Despite the remarkable growth figures in the English, French, and German language corpora as related to economic word frequency shares, the results suggest the rejection of the economization hypothesis. In fact, the growth trends of economic word frequencies are stopped in all of the three language areas, in none of which the economy ever reached a dominant position throughout the entire 200 years. The results give reason to assume that the idea of an economized society is an intellectual artifact rather than a fact. This fact is emphasized not to prove the marginal relevance of research in economic risks and benefits, but rather in terms of a suggestion to consider refocusing research foci and drawing increased attention to function systems beyond the politicoeconomic double stars of social science. Maybe even the solution to the present "economic" "crises" is not in more, but rather in less attention to the economy.

Suggested Citation

  • Steffen Roth, 2013. "The Fairly Good Economy: Testing The Economization Of Society Hypothesis Against A Google Ngram View Of Trends In Functional Differentiation (1800-2000)," Post-Print hal-01053636, HAL.
  • Handle: RePEc:hal:journl:hal-01053636
    Note: View the original document on HAL open archive server: https://hal.science/hal-01053636
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    Cited by:

    1. Kaivo-oja, Jari & Roth, Steffen, 2015. "The Technological Future of Work and Robotics," EconStor Preprints 118693, ZBW - Leibniz Information Centre for Economics.
    2. Wang, Guoyan & Hu, Guangyuan & Li, Chuanfeng & Tang, Li, 2018. "Long live the scientists: Tracking the scientific fame of great minds in physics," Journal of Informetrics, Elsevier, vol. 12(4), pages 1089-1098.

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