Trajectories of the Persecuted During the Second World War: Contribution to a Microhistory of the Holocaust

Mercklé, Pierre; Zalc, Claire

doi:10.1007/978-3-319-04969-4_9

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Aassve et al 2007; Brzinsky-Fay and Solga 2016; Fasang and Raab 2014; Raitano and Struffolino 2013). Other fields of application include social policy analysis (Frank et al 2000), democratization research (Wilson 2014), electoral participation studies (Buton et al 2014), historical sociology (Abbott and Forrest 1986;Mercklé and Zalc 2014), and developmental psychology (Dietrich et al 2014). The mainstream application of SA relies on optimal matching techniques to measure the distance between sequences that represent the individual realization of a certain process and on the clustering of such sequences to identify typical trajectories.…”

Section: Introductionmentioning

confidence: 99%

Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

Borgna

Struffolino

2018

Life Course Research and Social Policies

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Section: Introductionmentioning

confidence: 99%

Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

Borgna

Struffolino

2018

Life Course Research and Social Policies

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“…From a methodological point of view and in the specific context of this research, in order to define and investigate the places of the Holocaust—and not only its spaces—we will need an integration of traditional spatial analytical methods with social networks analysis and corpus linguistics methods as tools to parse the testimonies of the survivors (for a Holocaust‐specific example, see Mercklé & Zalc, ). Building a GIS of place is beyond the scope of the topics discussed in this article, but we can start to sketch some of the challenges and solutions toward achieving the objective.…”

Section: For a Gis Of Placementioning

confidence: 99%

The limits of GIS: Towards a GIS of place

Giordano

Cole

2018

Transactions in GIS

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In this article we reflect back on our decade-long collaboration on the geographies of the Holocaust to argue for a GIS of place. Our previous work on ghettoization in Budapest and on the spatio-temporal patterns of Jewish persecution in Italy had a marked spatial dimension, both in the research questions we set out to answer and the methods we used, which were largely quantitative. During the course of our research, we progressively came to realize that a spatial perspective favors the voice of the perpetrator and that to fully comprehend and understand the geography of the Holocaust, we needed to engage with the voice of the victim, extend the set of methods and tools used, and broaden our epistemology. While proposing a fully-fledged model of a qualitative GIS of the places and spaces of the Holocaust is beyond the scope of this article, we: (a) argue for the integration of social network analysis, corpus linguistics, and spatio-temporal methods and for a mixed-methods analytical approach and (b) note how the topological and relational foundations we identify as fundamental to a GIS of place parallel the longstanding call for an "integrated history" of the Holocaust. | I N TR ODU C TI ONReflecting on the limits of GIS is not a new exercise. In the late 1980s and early 1990s, both the representation model of GIS and its worldview-who did GIS benefit?-came under scrutiny by geographers writing under the broad umbrella of "critical GIS." (See Schuurman (2000) and, more recently, O'Sullivan (2006) andThatcher et al. (2016) for a summary and an historical overview of the debate.) Early NCGIA Technical Papers from this period explored topics that include the language of spatial relation, cognitive science and GIS, and public participation GIS, while seminal works by Pickles (1995) and others (Curry, 1998;Obermeyer, 1995;Sheppard, 1995) questioned the ideological foundations of the field.As a response from within the field, several academic GIS authors-for the debate barely registered outside of universities-attempted to re-envision GIS from alternative perspectives, including Kwan (2002) from a feminist one.Especially relevant to our objectives in this article is the discourse around qualitative GIS (Cope & Elwood, 2009)which is largely internal to geography-and, in a much broader context, the increased use of computational technologies and big data methods in the digital humanities and the spatial humanities (The challenge is how to map and represent the times and places of the testimonies, and to do it at scale (for all of Budapest, for example): how do we build a GIS of place by interrogating not one or two but 2,000 testimonies and narratives? Scaling up is not at all an issue for traditional GIS-it is easy to georeference 3,000 addresses on a map of Budapest, or to map the place of arrest for 6,000 Jewish victims of the Holocaust in Italy-but it is likely to be the greatest conceptual and technical challenge for building a GIS of the places of the Holocaust. For a possible way of thinking about how to deal wit...

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“…Investigations into differences in individual survival chances are scarce but are getting the attention of social scientists and social historians (e.g. Anders and Dubrovskis 2003; Mercklé and Zalc 2014; Zalc et al 2012). Some scholars such as Van Imhoff et al (2001) and Presser (1965, part 2: 509–510) are of the opinion that the exact demographic story of the destruction of Dutch Jewry during the Nazi period will quite likely never be written.…”

Section: Introductionmentioning

confidence: 99%

Surviving the Holocaust: Socio-demographic Differences Among Amsterdam Jews

Tammes

2017

Eur J Population

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This study determined the victimisation rate among Amsterdam Jews and socio-demographic differences in surviving the Holocaust. After linking a registration list of over 77,000 Jewish inhabitants in 1941 to post-war lists of Jewish victims and survivors, the victimisation rate lies between 74.3 and 75.3 %. Differences in survival chances and risk of being killed are examined by using multivariable logistic and Cox regression analyses. While male Jews had a reduced risk of death, in the end their survival chances hardly differed from females. Though Jews aged 6–14 and 31–50 initially had a lower risk of death, in the end compared with Jews aged 15–30 they had lower survival chances, just as Jews aged 50+. For Jews aged 0–5, it was the other way around. Immigrants showed better survival chances than native Jews. German Jews showed better survival chances than Dutch Jews, but Polish and other Jewish nationals showed highest survival chances. Jews who had abandoned Judaism had better survival chances than Jews belonging to an Israelite congregation. Divorced, widowed and unmarried adult Jews had better survival chances than married Jews and their children; Jews married to non-Jews, however, had one of the highest survival chances. Jews in the two highest social classes had better survival chances than jobless Jews. These findings indicate that survival was not random but related to socio-demographic characteristics. This sheds light on demographic consequences of conflict and violence: Nazi persecution reduced the Amsterdam Jewish community drastically, and socio-demographic differences in survival impacted the post-war Jewish population structure.Electronic supplementary materialThe online version of this article (doi:10.1007/s10680-016-9403-3) contains supplementary material, which is available to authorized users.

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Trajectories of the Persecuted During the Second World War: Contribution to a Microhistory of the Holocaust

Cited by 6 publications

References 12 publications

Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

Unpacking Configurational Dynamics: Sequence Analysis and Qualitative Comparative Analysis as a Mixed-Method Design

The limits of GIS: Towards a GIS of place

Surviving the Holocaust: Socio-demographic Differences Among Amsterdam Jews

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