Abstract: This paper presents two digital public history resources—online maps—that are concerned with the everyday lives and reminiscences of Jewish people in two cities in the United Kingdom: London and Manchester. Using techniques derived from Geographic Information Systems (GIS), and the spatial humanities more broadly, these resources take the form of interactive maps which compile recordings of oral history interviews with background research, documentary photographs, and historical maps. Drawing on the work of Raphael Samuel and Pierre Nora, and the insights derived from space syntax urban research and what we have termed ‘memory mapping,’ we discuss the tensions between memory, which in Nora’s sense refers to the past as it is recalled informally and colloquially, and history, the academic study of the past. Digital mapping technologies, we argue, shape new opportunities for exploring the relationship between these two modes of historical thinking. Through a consideration of specific examples taken from the two maps, we discuss how bringing these materials into dialogue with cartographic maps opens new avenues for spatially and historically situated research into memory.
Abstract: Little is known about the gendered dimension of anti-Semitism. Emerging from a literature review on social identity theory, anti-Semitism, sexism, and Jewish feminism, I demonstrate the urgency of examining the link between gender and experiences of anti-Semitism, using the FRA’s 2018 dataset “Experiences and Perceptions of Antisemitism: Second Survey on Discrimination and Hate Crime against Jews in the EU,” a large-scale survey of Jews in thirteen countries across Europe. The independent variable is gender identity. Five dependent variables relate to experiences of sex/gender discrimination, physical attacks, offensive/threatening comments, offensive gestures/staring, and online harassment. Using five control variables—being identifiable as a Jew in public, country, Jewish identity, education level, and Jewish population in one’s neighborhood—I engage with descriptive statistics and binary logistic regression analysis to analyze my variables. The findings show that while women are more likely to experience gender discrimination, men are significantly more likely to experience anti-Semitism.
