2019
DOI: 10.2307/j.ctvbqs963
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Quantitative Methods in the Humanities

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Cited by 31 publications
(3 citation statements)
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“…assumed to be more reliable (Karp & Schubring, 2014, p. 19). It is in this spirit that I conduct my study based on statistical inquiry, relying on quantitative methods developed for several decades in the humanities, and particularly in history (Lemercier & Zalc, 2019). Furthermore, this methodological work aims to show the fruitfulness of a quantitative approach to the history of education, but also to discuss its limitations.…”
Section: Introductionmentioning
confidence: 99%
“…assumed to be more reliable (Karp & Schubring, 2014, p. 19). It is in this spirit that I conduct my study based on statistical inquiry, relying on quantitative methods developed for several decades in the humanities, and particularly in history (Lemercier & Zalc, 2019). Furthermore, this methodological work aims to show the fruitfulness of a quantitative approach to the history of education, but also to discuss its limitations.…”
Section: Introductionmentioning
confidence: 99%
“…It is a common refrain in critiques of computational tools for digital methods research that ease of use dissuades critical thinking (Tenen, 2016;Van Es et al, 2021). Even relatively complex tools like the visual network analysis platform Gephi, which was not designed with ease of use in mind, is subject to this kind of critique (Lemercier and Zalc, 2019;Wieringa et al, 2019). Gephi has no default settings, intentionally encouraging its users to make active choices wherever possible.…”
Section: Introductionmentioning
confidence: 99%
“…Notwithstanding the fact that applications of networks in the Social Sciences date back more than 5 decades [3], this renewed interest in the subject is mainly due to the increase in computational capability at our disposal. As a result, historians have also begun looking to these digital methodologies with the intention of gaining new insights into their subject matter [4][5][6]. Much of the work of historians in this area tries to reconstruct 'real' social networks, based on data from a variety of sources, to understand the power of communities in the past [7].…”
Section: Introductionmentioning
confidence: 99%