Visualizing History’s Fragments : A Computational Approach to Humanistic Research
2024 ed.
Book Details
Format
Paperback / Softback
ISBN-10
3031469755
ISBN-13
9783031469756
Edition
2024 ed.
Publisher
Springer International Publishing AG
Imprint
Palgrave Macmillan
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Jun 20th, 2024
Print length
345 Pages
Weight
560 grams
Dimensions
15.50 x 23.40 x 2.30 cms
Product Classification:
Middle EastHistoriographyAfrican historySocial & cultural historyGender studies, gender groupsGender studies, gender groupsSocial research & statisticsSocial research and statisticsHistoriographyAfrican historySocial and cultural historyDigital and Information technology: general topicsInformation technology: general issues
Ksh 5,950.00
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This book combines a methodological guide with an extended case study to show how digital research methods can be used to explore how ethnicity, gender, and kinship shaped early modern Algerian society and politics.
This book combines a methodological guide with an extended case study to show how digital research methods can be used to explore how ethnicity, gender, and kinship shaped early modern Algerian society and politics. However, the approaches presented have applications far beyond this specific study. More broadly, these methods are relevant for those interested in identifying and studying relational data, demographics, politics, discourse, authorial bias, and social networks of both known and unnamed actors. Ashley R. Sanders explores how digital research methods can be used to study archival specters – people who lived, breathed, and made their mark on history, but whose presence in the archives and extant documents remains limited, at best, if not altogether lost. Although digital tools cannot metaphorically resurrect the dead nor fill archival gaps, they can help us excavate the people-shaped outlines of those who might have filled these spaces. The six methodological chapters explain why and how each research method is used, present the visual and quantitative results, and analyze them within the context of the historical case study. In addition, every dataset is available on SpringerLink as Electronic Supplementary Material (ESM), and each chapter is accompanied by one or more video tutorials that demonstrate how to apply each of the techniques described (accessed via the SN More Media App).
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