IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v4y2013i1p63-82.html
   My bibliography  Save this article

Knowledge, Education, and Citizenship in a Pre- and Post-National Age

Author

Abstract

This article uses ancient views of knowledge and citizenship to defamiliarize contemporary discursive paradigms and to suggest that they can, in some respects, provide a template for rethinking our views of citizenship and of the social function of the humanities. The discourse of the knowledge-based economy is at the heart of contemporary higher education policy. It implies not only the central significance of knowledge production and circulation for the economy, but also the primacy of economic considerations in defining the function of knowledge. By contrast, in the ancient world, the end of education and knowledge was conceptualized in political rather than economic terms, and this primacy of the political over the economic is historically one of the central tenets of a liberal education. Hence, the discourse of the knowledge-based economy itself plays a decisive role in bringing about the current crisis of the humanities. While this crisis cannot be resolved without rethinking the relationship between the economic and the political aspects of society, both philanthropic funding and a discursive engagement with the premises of the knowledge-based economy can constitute pragmatic ways of dealing with the crisis while it lasts. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Georgia Christinidis & Heather Ellis, 2013. "Knowledge, Education, and Citizenship in a Pre- and Post-National Age," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 4(1), pages 63-82, March.
  • Handle: RePEc:spr:jknowl:v:4:y:2013:i:1:p:63-82
    DOI: 10.1007/s13132-012-0120-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s13132-012-0120-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s13132-012-0120-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chaim Zins, 2007. "Conceptual approaches for defining data, information, and knowledge," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(4), pages 479-493, February.
    2. Kenneth Carlaw & Les Oxley & Paul Walker & David Thorns & Michael Nuth, 2006. "Beyond The Hype: Intellectual Property And The Knowledge Society/Knowledge Economy," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 633-690, September.
    3. Benoît Godin, 2006. "The Knowledge-Based Economy: Conceptual Framework or Buzzword?," The Journal of Technology Transfer, Springer, vol. 31(1), pages 17-30, January.
    4. Edward P. Lazear, 2006. "Speeding, Terrorism, and Teaching to the Test," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 1029-1061.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eustache Mêgnigbêto, 2018. "Correlation Between Transmission Power and Some Indicators Used to Measure the Knowledge-Based Economy: Case of Six OECD Countries," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(4), pages 1168-1183, December.
    2. Robert Dur & Heiner Schmittdiel, 2019. "Paid to Quit," De Economist, Springer, vol. 167(4), pages 387-406, December.
    3. Ghazinoory, Sepehr & Nasri, Shohreh & Afshari-Mofrad, Masoud & Taghizadeh Moghadam, Negin, 2023. "National Innovation Biome (NIB): A novel conceptualization for innovation development at the national level," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Charles Ayoubi & Boris Thurm, 2023. "Knowledge diffusion and morality: Why do we freely share valuable information with Strangers?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 32(1), pages 75-99, January.
    5. Ivanova, Inga & Strand, Øivind & Kushnir, Duncan & Leydesdorff, Loet, 2017. "Economic and technological complexity: A model study of indicators of knowledge-based innovation systems," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 77-89.
    6. Kfir Eliaz & Ran Spiegler, 2023. "Capability Building in Sluggish Organizations," Management Science, INFORMS, vol. 69(3), pages 1703-1713, March.
    7. Kwee Keong Choong & Patrick W. Leung, 2022. "A Critical Review of the Precursors of the Knowledge Economy and Their Contemporary Research: Implications for the Computerized New Economy," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1573-1610, June.
    8. Jinhui Li & Gwang-Nam Rim & Chol-Ju An, 2023. "Comparative Study of Knowledge-Based Economic Strength Between China and the USA," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4256-4292, December.
    9. Maria De Paola & Vincenzo Scoppa, 2008. "A signalling model of school grades: centralized versus decentralized examinations," Economics of Education Working Paper Series 0025, University of Zurich, Department of Business Administration (IBW).
    10. Vostrovský, V. & Tyrychtr, J. & Ulman, M., 2015. "Potential of Open Data in the Agricultural eGovernment," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(2), pages 1-11, June.
    11. Dai, Zhixin & Hogarth, Robin M. & Villeval, Marie Claire, 2015. "Ambiguity on audits and cooperation in a public goods game," European Economic Review, Elsevier, vol. 74(C), pages 146-162.
    12. Aven, Terje, 2013. "A conceptual framework for linking risk and the elements of the data–information–knowledge–wisdom (DIKW) hierarchy," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 30-36.
    13. Bryson, Alex & Buraimo, Babatunde & Simmons, Rob, 2011. "Do salaries improve worker performance?," Labour Economics, Elsevier, vol. 18(4), pages 424-433, August.
    14. Zakharov, Andrey & Carnoy, Martin, 2021. "Does teaching to the test improve student learning?," International Journal of Educational Development, Elsevier, vol. 84(C).
    15. Emir Kamenica & Matthew Gentzkow, 2011. "Bayesian Persuasion," American Economic Review, American Economic Association, vol. 101(6), pages 2590-2615, October.
    16. Natalia Lazzati & Amilcar A. Menichini, 2016. "Hot Spot Policing: A Study of Place‐Based Strategies for Crime Prevention," Southern Economic Journal, John Wiley & Sons, vol. 82(3), pages 893-913, January.
    17. Maymin, Philip Z., 2019. "Wage against the machine: A generalized deep-learning market test of dataset value," International Journal of Forecasting, Elsevier, vol. 35(2), pages 776-782.
    18. Liubertė Irina, 2019. "On Social Knowledge and Its Empirical Investigation in Contemporary Organisations," Management of Organizations: Systematic Research, Sciendo, vol. 81(1), pages 21-37, June.
    19. Solan, Eilon & Zhao, Chang, 2021. "Dynamic monitoring under resource constraints," Games and Economic Behavior, Elsevier, vol. 129(C), pages 476-491.
    20. Michael McAleer & Les Oxley, 2006. "Intellectual Property And Economic Incentives," Journal of Economic Surveys, Wiley Blackwell, vol. 20(4), pages 483-491, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jknowl:v:4:y:2013:i:1:p:63-82. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.