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    Reflections on Gender Analyses of Bibliographic Corpora
    (Lausanne : Frontiers Media, 2019) Mihaljević, Helena; Tullney, Marco; Santamaría, Lucía; Steinfeldt, Christian
    The interplay between an academic's gender and their scholarly output is a riveting topic at the intersection of scientometrics, data science, gender studies, and sociology. Its effects can be studied to analyze the role of gender in research productivity, tenure and promotion standards, collaboration and networks, or scientific impact, among others. The typical methodology in this field of research is based on a number of assumptions that are customarily not discussed in detail in the relevant literature, but undoubtedly merit a critical examination. Presumably the most confronting aspect is the categorization of gender. An author's gender is typically inferred from their name, further reduced to a binary feature by an algorithmic procedure. This and subsequent data processing steps introduce biases whose effects are hard to estimate. In this report we describe said problems and discuss the reception and interplay of this line of research within the field. We also outline the effect of obstacles, such as non-availability of data and code for transparent communication. Building on our research on gender effects on scientific publications, we challenge the prevailing methodology in the field and offer a critical reflection on some of its flaws and pitfalls. Our observations are meant to open up the discussion around the need and feasibility of more elaborated approaches to tackle gender in conjunction with analyses of bibliographic sources.
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    Publikationen und Gender-Effekte in der Mathematik
    (Zenodo, 2018) Mihaljević, Helena; Santamaría, Lucía; Tullney, Marco
    Die Unterrepräsentation von Frauen in der wissenschaftlichen Mathematik hält trotz steigender Absolventinnenzahlen an. Publikationen sind ein wesentlicher Baustein wissenschaftlicher Karrieren. Deshalb werden sie in unserer Arbeit analysiert. Es werden zentraler Ergebnisse eines Forschungsartikels (https://doi.org/10.1371/journal.pone.0165367) vorgestellt, weitere Forschung angekündigt und schließlich zu einer Diskussion eingeladen. Die Ergebnisse zeigen deutliche Unterschiede beim Publikationsverhalten zwischen Frauen und Männern mit Karrierenachteilen für Frauen. Die Geschlechterzuschreibung erfolgte algorithmisch auf Basis von Einträgen in zbMATH.