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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

Conceptual metaphors in English and Shona: a cross-linguistic and cross-cultural study

Machakanja, Isaac 05 1900 (has links)
The study is a comparative analysis of conceptual metaphors in English and Shona. The objectives of this study were: to compare the metaphorical expressions of English and Shona in the same or similar domains in order to establish on the one hand whether there are similarities and/or differences cross-linguistically and cross-culturally in the metaphorical construal of reality between these two languages and on the other hand, to establish what the underlying motivation is for the similarities and the differences between these two unrelated languages. The thesis also explores the reasons for the similarities in terms of particular assumptions underlying conceptual metaphors, that is, embodiment and ecological motivations. / Linguistics and Modern Languages / D. Litt. et Phil. (Linguistics)
22

Who Is to Blame? : An Ecolinguistic Analysis of the Portrayal of Human and Non-Human Animals in the Initial Phase of the Corona Crisis / Vem ska beskyllas? : en ekolingvistisk analys av skildringen av mänskliga och icke-mänskliga djur i den inledande fasen av corona krisen

Wikström, Rebecca January 2021 (has links)
The corona virus has spread steadily and led to consequences on a larger scale than anyone could have imagined, and it is not at all surprising that we want to find someone to hold responsible. Who is to blame for this terrible situation that we have to live through?  By taking an ecolinguistic approach, primarily inspired by Arran Stibbe (2021), this study explores how human and non-human animals are being blamed for the corona crisis in a corpus based on 15 news articles. To demonstrate blame through linguistic portrayal, the data are processed through four different lenses: facticity, appraisal, erasure and salience. The study finds that both human and non-human animals in general are portrayed as being to blame for the corona crisis. However, bats are most frequently portrayed as the responsible entity and human blame is often downplayed by linguistic erasure. Ecolinguistics can convey how language establishes asymmetries between groups and uncover how those asymmetries have an effect upon a broader social context. With this in mind, the way the texts blame entities for the corona crisis has real-life consequences. Firstly, non-human animals risk being killed to reduce the spread of the virus based on shallow arguments and groundless evaluations. Secondly, human blame risks not being evaluated properly and therefore there is a risk that harmful human behaviour can continue.

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