Interseccionalidade na Análise da Produção Científica de Pesquisadoras Negras Durante a Pandemia
Year: 2024
Type: article
Abstract: The impact of the COVID-19 pandemic in the academic context has not been sufficiently addressed, especially concerning the inequalities resulting from the underrepresentation of women and mothers from different racial and ethnic groups in science. This study seeks to analyze the impacts of the pandemic on the scientific production of Black female researchers, focusing on the dynamics of gender, race, and parenthood. This is a critical literature review, with data collection from the WoS and Google Scholar databases. Articles published between 2019 and 2024 were analyzed through thematic categorization, methodological approaches, the use of the theoretical construct of intersectionality, and bibliometric analysis of citations. Seven main themes were identified: professional and academic impacts, challenges of balancing work and personal life, resilience and support strategies, gender and race disparities, mental health and well-being, impact on research activities, and visibility and scientific communication. Quantitative studies with samples disaggregated by gender and race predominated, followed by theoretical discussions and recommendations, review studies, and one qualitative study. The citation analysis revealed that the works of Crenshaw and Collins are the most referenced, reflecting their predominant influence in the field. The citations of studies that incorporated the intersectionality framework suggest the emergence of new contributions and the need to diversify theoretical references. Although intersectionality is present in most articles, some use it incidentally, and others do not mention it. It is concluded that the scientific production of Black female researchers needs to be investigated more deeply, especially in studies that adopt the construct of intersectionality and use samples disaggregated by gender, race, and parenthood.
Institution: Universidade Federal de São Carlos
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4402926339