Kava at the intersection of the fale and vaka

Show simple item record

dc.contributor.advisor Jenner, R en
dc.contributor.author Fifita, Mosese en
dc.date.accessioned 2017-07-31T04:38:03Z en
dc.date.issued 2016 en
dc.identifier.uri http://hdl.handle.net/2292/34630 en
dc.description Full text is available to authenticated members of The University of Auckland only. en
dc.description.abstract Kava at the Intersection of Fale and Vaka explores the cultural interpenetration of indigenous and modern architecture from the perspective of the indigenous, which in this case is Tonga. It discusses the socio-cultural institution that is kava in relation to the fale house and vaka canoe, and informed by space, time, form, content and function. This discussion is furthered by an examination of cultural expression and identity in relation to history and mythology. This ultimately leads to a design proposal for a new Parliament building in Nuku’alofa, Tonga. en
dc.publisher ResearchSpace@Auckland en
dc.relation.ispartof Masters Thesis - University of Auckland en
dc.relation.isreferencedby UoA99264958913502091 en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights Restricted Item. Available to authenticated members of The University of Auckland. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/nz/ en
dc.title Kava at the intersection of the fale and vaka en
dc.type Thesis en
thesis.degree.discipline Architecture en
thesis.degree.grantor The University of Auckland en
thesis.degree.level Masters en
dc.rights.holder Copyright: The author en
pubs.elements-id 642024 en
pubs.record-created-at-source-date 2017-07-31 en


Files in this item

Find Full text

This item appears in the following Collection(s)

Show simple item record

Share

Search ResearchSpace


Browse

Statistics