Truth and Lying in Early Modern Travel Narratives: Coryat’s<i>Crudities</i>, Lithgow’s<i>Totall Discourse</i>and Generic Change

Sandrock, Kirsten

doi:10.1080/13825577.2015.1039280

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…Our definition builds upon and refines the careful reflections of Almut Höfert [9], who provides a narrower characterization: Fictional narratives are excluded, but there is no binary distinction between fictionality and factuality, since a certain amount of fictionality is part of every travelogue [17,24], apparent factuality was often generated artificially, and fictional narratives influenced reports at times [27].…”

Section: Characteristics Of Traveloguesmentioning

confidence: 99%

Identifying Historical Travelogues in Large Text Corpora Using Machine Learning

Rörden

Gruber

Krickl

et al. 2020

Sustainable Digital Communities

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0000−0002−5824−8397] , Doris Gruber 2[0000−0002−0512−100X] , Martin Krickl 3[0000−0002−8569−0340] , and Bernhard Haslhofer 1[0000−0002−0415−4491]Abstract. Travelogues represent an important and intensively studied source for scholars in the humanities, as they provide insights into people, cultures, and places of the past. However, existing studies rarely utilize more than a dozen primary sources, since the human capacities of working with a large number of historical sources are naturally limited. In this paper, we define the notion of travelogue and report upon an interdisciplinary method that, using machine learning as well as domain knowledge, can effectively identify German travelogues in the digitized inventory of the Austrian National Library with F1 scores between 0.94 and 1.00. We applied our method on a corpus of 161,522 German volumes and identified 345 travelogues that could not be identified using traditional search methods, resulting in the most extensive collection of early modern German travelogues ever created. To our knowledge, this is the first time such a method was implemented for the bibliographic indexing of a text corpus on this scale, improving and extending the traditional methods in the humanities. Overall, we consider our technique to be an important first step in a broader effort of developing a novel mixed-method approach for the large-scale serial analysis of travelogues.

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Section: Characteristics Of Traveloguesmentioning

confidence: 99%

Identifying Historical Travelogues in Large Text Corpora Using Machine Learning

Rörden

Gruber

Krickl

et al. 2020

Sustainable Digital Communities

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The Inner Lives of Early Modern Travel

Williams

2018

Hist. J.

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This article assesses the role of memory, interiority, and intergenerational relations in the framing of early modern experiences and narratives of travel. It adopts as its focus three generations of the Clerk family of Penicuik, Scotland, whose travels through Europe from the mid-seventeenth century onward proved formative in the creation of varied ‘cosmopolitan’ stances within the family. While such widely studied practices as the ‘Grand Tour’ have drawn on discourses of encounter and cultural engagement within the broader narratives of the ‘long’ eighteenth century, this article reveals a family made deeply anxious by the consequences of travel, both during and after the act. Using diaries, manuscript correspondence, memoirs, and material objects, this article reveals the many ways in which travel was fashioned before, during, and long after it was undertaken. By shifting focus away from the act of travel itself and towards its subsequent afterlives, it explores the ways in which these individuals internalized what they experienced in the course of travel, how they reconciled it with the familiar, quotidian world to which they returned, and how the ‘cosmopolitan’ worldviews they brought home were made to inform the generations that followed.

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Truth and Lying in Early Modern Travel Narratives: Coryat’sCrudities, Lithgow’sTotall Discourseand Generic Change

Cited by 2 publications

References 8 publications

Identifying Historical Travelogues in Large Text Corpora Using Machine Learning

Identifying Historical Travelogues in Large Text Corpora Using Machine Learning

The Inner Lives of Early Modern Travel

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