Elvira González-Salmón, Zaida Chinchilla-Rodríguez, Nicolas Robinson-Garcia
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引用次数: 0
Abstract
There has been a notable increase in bibliometric research studying gender in academia. This narrative review aims to organize and synthesize this extensive body of work to uncover new insights into gender disparities in science. We begin by analyzing key methodological elements, including gender assignment techniques, units of analysis, and causality issues. Next, we identify and categorize the main findings of the literature into three groups: differences in academia, causes behind these differences, and their primary consequences. Finally, we point out gaps in the literature and propose new lines of inquiry to address these gaps. These proposals include more rigorous gender assignment algorithms, fostering comparability of studies, exploring a broader range of topics, and improving the interpretability and context of results when studying gender.
期刊介绍:
The Journal of the Association for Information Science and Technology (JASIST) is a leading international forum for peer-reviewed research in information science. For more than half a century, JASIST has provided intellectual leadership by publishing original research that focuses on the production, discovery, recording, storage, representation, retrieval, presentation, manipulation, dissemination, use, and evaluation of information and on the tools and techniques associated with these processes.
The Journal welcomes rigorous work of an empirical, experimental, ethnographic, conceptual, historical, socio-technical, policy-analytic, or critical-theoretical nature. JASIST also commissions in-depth review articles (“Advances in Information Science”) and reviews of print and other media.