In their articles for this special issue on digital humanities, Jeremy Burman (2018) and Ivan Flis and Nees Jan van Eck (Flis & van Eck, 2018) examine how psychology journals can be used as sources for large-scale data sets that might illuminate the development of psychology as a research discipline. In my commentary, I seek to situate these two articles in a broader history of scientific publishing and offer further thoughts on the possibilities and pitfalls of data-based methods for the history of scientific publishing. (PsycINFO Database Record (c) 2018 APA, all rights reserved) (Source: journal abstract)
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Article
Theodore M. Porter;
(2018)
Digital Humanism
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Article
Ivan Flis;
(2018)
Digital Humanities as the Historian’s Trojan Horse: Response to Commentary in the Special Section on Digital History
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Thesis
Jaimie Murdock;
(2019)
Topic Modeling the Reading and Writing Behavior of Information Foragers
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Anu Masso;
Maris Männiste;
Andra Siibak;
(2020)
‘End of Theory’ in the Era of Big Data: Methodological Practices and Challenges in Social Media Studies
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Abraham Gibson;
Manfred D. Laubichler;
Jane Maienschein;
(2019)
Introduction to Focus: Computational History and Philosophy of Science
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Article
Jacy L. Young;
(2020)
Thinking in Multitudes: Questionnaires and Composite Cases in Early American Psychology
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Article
Green, Christopher D.;
Feinerer, Ingo;
Burman, Jeremy T.;
(2014)
Beyond the Schools of Psychology 2: A Digital Analysis of Psychological Review, 1904--1923
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Article
Zelle, Carsten;
(2013)
Empiricism and the “Reasonable Physicians” of the Early Enlightenment
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Jessica Pykett;
Mark Paterson;
(2022)
Stressing the ‘body electric’: History and psychology of the techno-ecologies of work stress
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Article
Ian J. Davidson;
(2018)
The (ab)normal-Social-Personality Catena: Exploring the Journal of Abnormal and Social Psychology During the Interwar Years
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Book
Colin Koopman;
(2019)
How We Became Our Data: A Genealogy of the Informational Person
(/isis/citation/CBB981384434/)
Chapter
Stephen P. Weldon;
(2015)
Historians and Their Data
(/isis/citation/CBB944568735/)
Article
Grant Ramsey;
Charles H. Pence;
(2016)
evoText: A new tool for analyzing the biological sciences
(/isis/citation/CBB014385965/)
Article
David Sepkoski;
(2017)
The Database before the Computer?
(/isis/citation/CBB586818085/)
Article
Steven Ruggles;
Diana L Magnuson;
(2020)
Census Technology, Politics, and Institutional Change, 1790–2020
(/isis/citation/CBB460583621/)
Article
Fridolin Gross;
Nina Kranke;
Robert Meunier;
(2019)
Pluralization Through Epistemic Competition: Scientific Change in Times of Data-Intensive Biology
(/isis/citation/CBB374064986/)
Article
María Elissa Torres Carrasco;
(2022)
Neoconservative camouflage: The datafication of abortion debates in Ecuador
(/isis/citation/CBB507888120/)
Book
Sarah Ehlers;
Stefan Esselborn;
(2022)
Evidence in Action between Science and Society: Constructing, Validating, and Contesting Knowledge
(/isis/citation/CBB104485678/)
Article
Xiaochang Li;
(2023)
“There’s No Data Like More Data”: Automatic Speech Recognition and the Making of Algorithmic Culture
(/isis/citation/CBB996020233/)
Article
Julia Damerow;
Dirk Wintergrün;
(2019)
The Hitchhiker’s Guide to Data in the History of Science
(/isis/citation/CBB148273240/)
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