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UID:pretalx-spathum24-KU8GGA@pretalx.com
DTSTART;TZID=CET:20240926T153000
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DESCRIPTION:In the context of crisis discourses\, corpus linguistic analysi
 s of language use patterns are worthwhile in order to understand how crise
 s are linguistically bound (Bubenhofer\, 2009\; Kremer and Walker\, 2023).
  This concerns acute crises such as diseases (Semino et al.\, 2004) or pan
 demics (Kremer and Felgenhauer\, 2022)\, but also everyday experiences of 
 unsaftey in urban spaces (Moura de Souza et al.\, 2022). Metaphors of figh
 ting the crisis (Semino\, 2021) imply a search for places of the crisis (B
 rinks and Ibert\, 2020) in order to identify\, control and combat effects 
 and causes (Chapman and Miller\, 2020). When it comes to the question of e
 xperienced unsafety in everyday life\, it is known from conceptual social 
 sciences that they are modelled best as fluid spaces (Redepenning et al.\,
  2010)\, which reflect forms of mobility as well as constantly changing si
 tuations (Moura de Souza et al.\, 2022). Even when the virus had already p
 enetrated the population during the COVID-19 pandemic\, the question of a 
 spatial origin\, the "hotspots"\, still played a decisive role in the sear
 ch for causes (Kremer and Felgenhauer\, 2022). Interestingly\, however\, m
 edia repertoires have developed in everyday discourses on unsafety that ad
 dress this need non-cartographically in a mixture of social media and clas
 sic unidirectional TV broadcasts (Moura de Souza et al.\, 2022) and thus m
 ay represent a more suitable data basis for the analysis of unsafety than 
 their mere visualization bound to map-based data.\n\nIn the search for sha
 red "imaginaries" (Taylor\, 2004)\, the dominant guiding metaphors (Lakoff
  and Johnson\, 2003) and narratives (Viehöver\, 2001) of everyday places\
 , focus in Digital Spatial Humanities is directed towards multimodal analy
 sis of imagery (Rose\, 2001) and text data (Mayring\, 2016). Supported by 
 digital analysis methods\, certain structural findings are available for t
 he first time (Jannidis et al.\, 2017\; Moretti\, 2013).  In the tradition
  of critical data studies (Dalton and Thatcher\, 2014\; Kitchin and Lauria
 ult\, 2014)\, however\, it has become established to interrogate such rese
 arch-based digital representations and data collections as apolitical spac
 es (Iliadis and Russo\, 2016)\, to systematically scrutinize power\, surve
 illance and control in the supposed decision support and\, if necessary\, 
 to help underrepresented interests gain more visibility through counter-da
 ta (Dalton and Thatcher\, 2014) (Iliadis and Russo\, 2016). Dominant persp
 ectives (Kitchin and Lauriault\, 2014)  manifest themselves - either uncon
 sciously through the organizational structure of the data or consciously a
 s part of a previously developed information architecture of a project - a
 s data and information modelling. In analogy to _counter-data_\, we thus s
 ee our approach of what we call concept space analysis as an opportunity t
 o systematically examine data modeling and its social production condition
 s not only ex-post\, but complementarily in the sense of _counter-modeling
 _ (Kremer/Lang in print) even before their development at the beginning of
  projects in terms of texamining alternative explanatory approaches.\n\nWe
  illustrate our workflow using the example of a study on place-based narra
 tives about perceived safety in different stakeholder groups in the city o
 f Recife\, Brazil (Moura de Souza et al.\, 2022). A general **workflow** c
 an be derived (Kremer/Lang in print)\, which can be explored incrementally
  in order to obtain complementary answers to research questions:\n\n1 **Id
 entify theoretical approach:** Which different theoretical approaches can 
 be applied to the research question in principle? Which spatial terms are 
 used to refer to the question from a technical point of view? What are the
  basic assumptions?\n\n2 **Analyze conceptual space:** Which spatial conce
 pts should be used to make structures visible on the data in an explorativ
 e manner ? \n\n3 **Develop appropriate data modelling:** In which data sch
 emas should the spatial data be organized? Which explorative data analyses
  can be applied to appropriately evaluate the validity of the investigated
  spatial theory approaches with respect to the given research question?
DTSTAMP:20260421T034138Z
LOCATION:MG1 00.04 Hörsaal
SUMMARY:Using Counter-Modellings analysing narratives about places of unsaf
 ety in Recife\, Brazil - Dominik Kremer
URL:https://pretalx.com/spathum24/talk/KU8GGA/
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