IDEAS home Printed from https://ideas.repec.org/a/taf/cdipxx/v24y2014i5-6p764-776.html
   My bibliography  Save this article

Indigenous languages and Africa's development dilemma

Author

Listed:
  • Mariama Khan

Abstract

Most African states like The Gambia use European languages for state activities and formal education. Africa has been a global pilot site for “transplanted” development initiatives with apparently consistent outcomes: failure, medium triumph, or unsustainable “success stories”. Its natural resources have been fully exploited, perhaps at the expense of resources like mother-tongue languages. Sidelining mother-tongue languages as the medium for the translation of the voice of the state, explains the gap in cultural relevance of many borrowed development initiatives, but also the neglect of workable endogenous practices. Africa must look inwards and exploit its indigenous language assets to benefit sustained development.

Suggested Citation

  • Mariama Khan, 2014. "Indigenous languages and Africa's development dilemma," Development in Practice, Taylor & Francis Journals, vol. 24(5-6), pages 764-776, August.
  • Handle: RePEc:taf:cdipxx:v:24:y:2014:i:5-6:p:764-776
    DOI: 10.1080/09614524.2014.941789
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09614524.2014.941789
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09614524.2014.941789?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).

    More about this item

    Statistics

    Access and download statistics

    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:taf:cdipxx:v:24:y:2014:i:5-6:p:764-776. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/cdip .

    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.