Titlebook: Visualizing History’s Fragments; A Computational Appr Ashley R. Sanders Textbook 2024 The Editor(s) (if applicable) and The Author(s), unde

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Understanding the Context, documents to light their pipes. In the following years, the plunder continued until most of the official records from Algiers and neighboring cities were either lost, stolen, or destroyed. The case of Algeria, outlined in this chapter, highlights the problematic nature of colonized archives and the

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Detecting Bias in Textual Sources,eir themes and biases. The resulting topic models visualize the ways in which the authors perceived and presented the histories of Algeria’s governors. In the case of the two French authors, the expected anti-Arab or anti-Turkish sentiments were absent, but a latent anti-Semitic sentiment appeared i

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,Humanistic Data—Classifying Individuals and Visualizing Silences, methods, in part, because few humanists think of their sources as data. Whether a researcher compiles her own data set or uses preexisting data, she must understand the constructed nature of its categories, codes, and silences. This chapter, then, illustrates the process of selecting, mining, defin

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,Descriptive Statistics—Investigating Questions of Representativeness,nstantine’s history (1567–1791 and 1792–1837) that we identified through exploratory data visualization in Chapter 5. In doing so, this chapter models how to use summary statistics, such as measures of center (mean, median, and mode), measures of dispersion (e.g., interquartile range, standard devia

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Testing Relationships Between Categorical Variables,, legitimizing their authority, and solidifying their positions of power in Constantine. This chapter shows how data summarization and statistical tests for independence may be used to explore questions such as: How did a man’s ethnicity and origin contribute to his ability to achieve and retain hig

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,Social Network Analysis—Identifying Women’s Socio-Political Roles,ines local women’s roles in Ottoman-Algerian society and politics. Through text mining to identify both named and unnamed individuals and data visualization to illustrate their relationships, unnamed women appear in the socio-political network despite their absence in the archival record. Quantitati

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Where Do We Go From Here?, project types based on the reader’s current position and desired career path. Moreover, it describes how to turn an abstract digital humanities project idea into an actionable and achievable vision by considering essential questions related to five pillars of DH project design: foundations, such as