Reflections on Gender Analyses of Bibliographic Corpora

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dc.identifier.uri Mihaljević, Helena ger Tullney, Marco ger Santamaría, Lucía ger Steinfeldt, Christian ger 2019-08-29T13:32:48Z 2019-08-29T13:32:48Z 2019
dc.identifier.citation Mihaljević, H.; Tullney, M.; Santamaría, L.; Steinfeldt, C.: Reflections on Gender Analyses of Bibliographic Corpora. In: Frontiers in Big Data 2 (2019), 29. DOI: ger
dc.description.abstract 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. ger
dc.language.iso eng ger
dc.publisher Lausanne : Frontiers Media
dc.relation.ispartofseries Frontiers in Big Data 2 (2019), 29 ger
dc.rights CC BY 4.0 ger
dc.rights.uri ger
dc.subject gender eng
dc.subject reproducibility eng
dc.subject data science eng
dc.subject bias eng
dc.subject societal issues eng
dc.subject science studies eng
dc.subject automatic gender recognition eng
dc.subject.ddc 020 | Bibliotheks- und Informationswissenschaft ger
dc.title Reflections on Gender Analyses of Bibliographic Corpora ger
dc.type article ger
dc.type Text ger
dc.relation.doi 10.3389/fdata.2019.00029
dc.description.version publishedVersion ger
tib.accessRights frei zug�nglich ger

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