Patterns of Nationalist Discourse in the Early Reception of the Icelandic Sagas in Britain

The unprecedented production of English translations of the Icelandic sagas in the 1860s occurred alongside widespread cultural discussion concerning ethnic-nationalism and the developing science of comparative philology. Although the relationship between these phenomena has been examined, there has been no scholarly consensus on the reality, extent, or direction of any influence between them. This thesis reports on the seminal texts which gave context to and informed the late-nineteenth-century translations of Old Norse Íslendingasögur into English, their cultural stimuli and progeny. Firstly, the thesis examines the influence of and contextual philosophies behind J. A. Blackwell’s revised edition of Northern Antiquities, and in particular its depiction of Old Norse literature as key to understanding British ancestry. The thesis then considers the impact of Blackwell’s inclusion of Walter Scott’s Eyrbyggja saga ‘Abstract’, and the extent to which this partial translation characterised subsequent attitudes to nationality. Finally, the thesis examines the wide nationalist implications of the European interest in Friðþjófs saga, and the nature of the scholarship of George Stephens, its first English translator. The results of this study demonstrate that far from following a simplistic model of cause and effect, one needs to view the development of the reception of Old Norse literature as being intricately bound with contemporary political and national interests. Previous studies have often emphasised the unconventionality of the pioneering translators; this study underlines both their reliance on wider academic discussion and the wide-spread acceptability of their ideas within Georgian and early-Victorian Britain. The study complements previous research in providing a detailed assessment of ethnic-nationalist discourse within British Old Norse scholarship and eschewing the common view that the discussion was merely a product of foreign philosophy

Lithosphere 2021 : Eleventh symposium on structure, composition and evolution of the lithosphere

Programme and extended abstract

Pattern mining for label ranking

Preferences have always been present in many tasks in our daily lives. Buying the right car, choosing a suitable house or even deciding on the food to eat, are trivial examples of decisions that reveal information, explicitly or implicitly, about our preferences. The recent trend of collecting increasing amounts of data is also true for preference data. Extracting and modeling preferences can provide us with invaluable information about the choices of groups or individuals. In areas like e-commerce, which typically deal with decisions from thousands of users, the acquisition of preferences can be a difficult task. For these reasons, artificial intelligence (in particular, machine learning) methods have been increasingly important to the discovery and automatic learning of models about preferences. In this Ph.D. project, several approaches were analyzed and proposed to deal with the LR problem. Most of which has focused on pattern mining methods.Algorithms and the Foundations of Software technolog

Pattern Mining for Label Ranking

Preferences have always been present in many tasks in our daily lives. Buying the right car, choosing a suitable house or even deciding on the food to eat, are trivial examples of decisions that reveal information, explicitly or implicitly, about our preferences. The recent trend of collecting increasing amounts of data is also true for preference data. Extracting and modeling preferences can provide us with invaluable information about the choices of groups or individuals. In areas like e-commerce, which typically deal with decisions from thousands of users, the acquisition of preferences can be a difficult task. For these reasons, artificial intelligence (in particular, machine learning) methods have been increasingly important to the discovery and automatic learning of models about preferences. In this Ph.D. project, several approaches were analyzed and proposed to deal with the LR problem. Most of which has focused on pattern mining methods.Algorithms and the Foundations of Software technolog