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Thèse de doctorat (Mémoires et thèses)
Australian Indigenous Life Writing: Analysing Discourses with Word Embedding Modelling
KAMLOVSKAYA, Ekaterina
2022
 

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Mots-clés :
digital humanities; Australian history; Australian literature
Résumé :
[en] The genre of Australian Aboriginal autobiography is a literature of significant socio-political importance, with authors sharing a history different to the one previously asserted by the European settlers which ignored or misrepresented Australia's First People. While there has been a number of studies looking at the works belonging to this genre from various perspectives, Australian Indigenous life writing has never been approached from the digital humanities point of view which, given the constant development of computer technologies and growing availability of digital sources, offers humanities researchers many opportunities for exploring textual collections from various angles. With this research work I contribute to closing the above-mentioned research gap and discuss the results of the interdisciplinary research project within the scope of which I created a bibliography of published Australian Indigenous life writing works, designed and assembled a corpus and created word embedding models of this corpus which I then used to explore the discourses of identity, land, sport, and foodways, as well as gender biases present in the texts in the context of postcolonial literary studies and Australian history. Studying these discourses is crucial for gaining a better understanding of the contemporary Australian society as well as the nation's history. Word embeddings modelling has recently been used in digital humanities as an exploratory technique to complement and guide traditional close reading approaches, which is justified by their potential to identify word use patterns in a collection of texts. In this dissertation, I provide a case study of how word embedding modelling can be used to investigate humanities research questions and reflect on the issues which researchers may face while working with such models, approaching various aspects of the research project from the perspectives of digital source and tool criticism. I demonstrate how word embedding model of the analysed corpus represents discourses through relationships between word vectors that reflect the historical, political, and cultural environment of the authors and some unique experiences and perspectives related to their racial and gender identities. I show how the narrators reconstruct the analysed discourses to achieve the main goals of Australian Indigenous life writing as a genre - reclaiming identity and rewriting history.
Centre de recherche :
- Luxembourg Centre for Contemporary and Digital History (C2DH) > Doctoral Training Unit (DTU)
Disciplines :
Sciences informatiques
Auteur, co-auteur :
KAMLOVSKAYA, Ekaterina ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Langue du document :
Anglais
Titre :
Australian Indigenous Life Writing: Analysing Discourses with Word Embedding Modelling
Date de soutenance :
28 octobre 2022
Institution :
Unilu - University of Luxembourg, Belval, Luxembourg
Intitulé du diplôme :
Docteur en Informatique
Promoteur :
Président du jury :
Membre du jury :
GILLES, Peter  
Schöch, Christof
Tahmasebi, Nina
Focus Area :
Computational Sciences
Projet FnR :
FNR10929115 - Digital History And Hermeneutics, 2015 (01/03/2017-31/08/2023) - Andreas Fickers
Organisme subsidiant :
FNR - Fonds National de la Recherche
Disponible sur ORBilu :
depuis le 04 avril 2022

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