Browsing by Author "Whaanga, Hēmi"

Now showing items 1-5 of 14

  • Artefacts, biology and bias in museum collection research

    Wehi, Priscilla M.; Whaanga, Hēmi; Trewick, Steve A. (Blackwell Publishing Ltd, 2012-07)
    Museum collections are increasingly subjected to scientific scrutiny, including molecular, isotopic and trace-element analyses. Recent advances have extended analyses from natural history specimens to historical artefacts. ...
  • Case roles / relations and discourse relations: A Maori language-based perspective

    Whaanga, Hēmi (The University of Waikato, 2006)
    The overall aim of this research project is to explore case roles/ relations and discourse relations (referred to in this thesis as 'intra-propositional relations' and 'interpropositional relations' respectively) from the ...
  • Creating a curriculum for indigenous and community languages: Te reo Māori as an example

    Bruce, Ian; Whaanga, Hēmi (School of Māori and Pacific Development, The University of Waikato, 2002)
    Part 1 of this paper introduces the draft Common European Framework of Reference (CEFR) for languages and describes how it was used in the construction of draft New Zealand curriculum guidelines for French and German. Part ...
  • He mahi māreikura: Reflections on the digitising of the Pei Jones’ collection

    Whaanga, Hēmi (Te Pua Wānanga ki te Ao / Faculty of Māori and Indigenous Studies, the University of Waikato, 2017)
    The astounding growth in digital content in the past decade alongside the proliferation of Mātauranga Māori being made available through this medium has transformed and affected the ways in which we participate and communicate ...
  • "He Matapihi ki te Mana Raraunga” - Conceptualising Big Data through a Māori lens

    Hudson, Maui; Anderson, Tiriana; Dewes, Te Kuru; Temara, Pou; Whaanga, Hēmi; Roa, Tom (Te Pua Wānanga ki te Ao / Faculty of Māori and Indigenous Studies, the University of Waikato, 2017)
    Advances in computer technology and analytical processes create an environment where data becomes the raw material mined to create valuable information and insights. The idea of Big Data emerges from the collation of ...

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