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    Mentorship and inter-generational learning as catalysts for feminist leadership in Zambia

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    Author(s)
    Lumbwe, Zangose Tembo
    Editor(s)
    Ghosh, Anandita
    Publication date
    2025-09-18
    Subject
    Gender
    Keywords
    Feminist leadership
    inter-generational learning
    mentorship
    Country
    Zambia
    
    Metadata
    Show full item record
    Publisher(s)
    Routledge
    Oxfam KEDV
    Oxfam India
    Oxfam Mexico
    Oxfam South Africa
    Oxfam Colombia
    Oxfam Brazil
    Journal
    Gender and Development
    URI
    http://hdl.handle.net/10546/621747
    DOI
    https://doi.org/10.1080/13552074.2025.2501410
    Document type
    Journal article
    Language
    English
    Description
    <html> <head> <title></title> </head> <body> <p>This article examines the vital role that women have played in Zambia&#8217;s politics and governance and how preserving these legacies through mentorship, inter-generational learning, and knowledge sharing can foster transformative feminist leadership in Zambia. Numerous women in politics and governance have played pivotal roles in advancing gender equality and influenced legal, social, and political reforms. However, their contributions have remained largely unrecognised, which can be attributed to limited documentation of their work. Using Zambia as a case study, this article argues that promoting mentorship and knowledge-sharing about the contributions of women in politics and governance is crucial for the preservation of their legacies and ensuring the sustainability of feminist leadership. It proposes that inter-generational learning must be included in mentorship programmes to foster feminist change, to empower future generations with historical insights and strategic approaches to challenge prevailing narratives that perpetuate inequality for women.</p> </body> </html>
    Pages
    18
    EISSN
    1355-2074
    ISBN
    1364-9221
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.1080/13552074.2025.2501410
    Scopus Count
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