Since the end of South Africa’s Apartheid era, South Africans have become more aware of hate crimes that discriminate not on the basis of skin colour, but nationality. Among the targets of this xenophobic hate are Mozambican foreign nationals, one of the largest foreign national populations in South Africa. Structured Mozambican communities have been identified, offering support to their members in this environment. This study explores the impact of the xenophobic discourse on the Mozambican identity, particularly within the Mozambican community of Freedom Park, Soweto. Based on the social constructionist acknowledgement of multiple realities, this study used the African worldview as an epistemological framework to inform the methodology appropriate for this participant group.
12 participants, identified through convenience sampling, engaged in one group conversation that explored their understandings of their Mozambican identity and the corresponding impact of South Africa’s xenophobic discourse. Following thematic content analysis, four themes were identified. Participants showed a strong sense of national pride in their shared Mozambican heritage, linked to support from their community and their government. Secondly, participants perceived a positive Mozambican identity that emphasized work- related characteristics. Thirdly, participants showed concern over how South Africans perceive them. Finally, the Mozambican identity was de-emphasized when discussing xenophobia. Participants adopted similar ideas to Mbeki’s African Renaissance, in drawing on the broad categories of ‘blacks’ and ‘Africans’ and redefining the boundaries of belonging. In conclusion, implications for future research and government interventions are discussed / Psychology / M.A. (Clinical Psychology)
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/14335 |
Date | 07 1900 |
Creators | Lovegrove, Kim Simone |
Contributors | Baloyi, Lesiba |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Dissertation |
Format | 1 online resource (x, 110 leaves) |
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