”The ’Ghetto’ strikes back: resisting welfare sanctions and stigmatizing categorizations in marginalized residential areas in Denmark”

Fallov, Mia Arp; Birk, Rasmus Hoffmann

doi:10.1080/2156857x.2021.1937289

Cited by 10 publications

(11 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…25 The area is obliged to undergo demolition, permanent relocation of a proportion of residents, reconstruction and partial privatization if the housing area is unable to change the composition of sociodemographic characteristics of the residents within five years. 26 In this study, we refer to this process as urban regeneration.…”

Section: Introductionmentioning

confidence: 99%

Association Between Urban Regeneration and Healthcare-Seeking Behavior of Affected Residents: A Natural Experiment in two Multi-Ethnic Deprived Housing Areas in Denmark

Nygaard

Jørgensen

Srivarathan

et al. 2022

International Journal of Social Determinants of Health and Heal

View full text Add to dashboard Cite

Area regeneration of deprived neighborhoods is being used to reduce health inequality, socioeconomic deprivation and ethnic segregation. This quasi-experimental study examines if long-term graded exposure to urban regeneration is associated with primary healthcare-seeking behavior among residents. We compared general practitioner (GP) contacts from 2015-2020 in two adjacent, deprived social housing areas, one exposed to area regeneration. Populations were into Western and non-Western males and females aged 15 years and older (N = 3,960). Mean annual GP contact frequency for each group were estimated and a difference-in-difference (DiD) analysis was conducted with adjustments for propensity scores based on baseline characteristics. GP contact frequency increased for all groups across time with a systematically higher level and faster increase in the control groups. In particular, the mean difference between the exposed and control area for non-Western women more than doubled from −0.61 to −1.47 annual contacts across the period. The mean differences in contact frequency increased for all groups but results of the DiD analyses were insignificant. In conclusion, an emerging gap in GP contact frequency, with the highest levels in the control area, was observed for all comparisons across time. More long-term research is needed to understand how the emerging gaps evolve.

show abstract

Section: Introductionmentioning

confidence: 99%

Association Between Urban Regeneration and Healthcare-Seeking Behavior of Affected Residents: A Natural Experiment in two Multi-Ethnic Deprived Housing Areas in Denmark

Nygaard

Jørgensen

Srivarathan

et al. 2022

International Journal of Social Determinants of Health and Heal

View full text Add to dashboard Cite

show abstract

“…Table 2 summarizes the actual counts of the two DST population datasets along with the mean density of each of the subgroups in four selected municipalities in the capital region. Copenhagen and Frederiksberg were the two most densely populated municipalities in terms of total population; Brøndby and Ishøj had the highest density of non-Western migrants, sparking debates about ghettos and the emergence of "parallel societies" (Fallov & Birk, 2022;Lundsteen, 2023). Counts by demographic group are shown as a reference to indicate the anticipated differences between the aggregated and grid cell datasets provided.…”

Section: Materials Smentioning

confidence: 99%

Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi‐output spatial disaggregation

Georgati,

Monteiro,

Martins

et al. 2024

Transactions in GIS

View full text Add to dashboard Cite

Spatially aggregated data on socio‐demographic groups often fail to capture the population's spatial heterogeneity in cities. This poses challenges for urban planning, particularly when addressing the needs of groups such as migrants or families with children. Moreover, the commonly provided aggregated units, such as census tracts, vary in size and across data sources. Existing literature on disaggregation typically handles individual subgroups separately, ignoring their interrelations in the downscaling process. This article explores the potentials of multi‐output regression models for simultaneous spatial downscaling of multiple groups and conducts a detailed spatial error analysis using individualized neighborhoods. We experiment with self‐training gradient‐boosting trees and fully convolutional neural networks, assessing the quality of results against ground truth data at the target resolution. We show that the evaluation of the disaggregated results at this detailed resolution requires unconventional methods. The methodology proves convenient and achieves high‐accuracy results using input datasets of building features.

show abstract

“…Indeed, many studies have analysed the Danish ‘ghetto’ politics and marginalized housing in general through this conceptual lens (e.g. Birk and Fallov, 2021; Fabian and Lund Hansen, 2020; Fallov and Birk, 2022; Jensen et al, 2021; Jensen and Christensen, 2012; Olsen and Larsen, 2022). While some have highlighted the relation between territorial stigmatization and housing markets (Schultz Larsen, 2014, 2018) or sales (Jensen, 2021), these studies have generally not had non-profit housing commodification as their main concern (see, however, Risager, 2022).…”

Section: Denmark's ‘Ghetto’ Politics and Its Researchmentioning

confidence: 99%

“…The ‘ghetto’ discourse, then, was supplemented with quantifiable criteria and geographic demarcations – a political move that exemplifies how territorial stigmatization might be produced not only through language but also through ‘objective’ statistical and geospatial data (Crookes, 2017; Sisson, 2021; Uitermark et al, 2017). The result was a ‘scientification’ or, what Schultz Larsen (2018: 1144) calls, ‘an extensive bureaucratization of territorial stigmatization’ that helped empower the government to bring the ‘ghetto’ into being (see also Birk and Elmholdt, 2020; Fallov and Birk, 2022).…”

Section: From ‘Ghettoization’ To the ‘Ghetto List’ In The 2010smentioning

confidence: 99%

Territorial stigmatization and housing commodification under racial neoliberalism: The case of Denmark's ‘ghettos’

Risager

2022

Environ Plan A

View full text Add to dashboard Cite

The relation between racialization and neoliberalism is relatively unexplored in urban geography, especially in the context of social democratic welfare regimes. This article aims to bridge this gap by applying the concept of racial neoliberalism, here referring to a co-constitutive relation between racialization and neoliberalism, to Denmark. Conceiving the country's so-called ‘ghetto’ politics as an expression of racial neoliberalism, the article retraces the development of this politics over the first two decades of the 21st century. I argue that territorial stigmatization and commodification of marginalized non-profit housing areas have been two co-constitutive expressions of racial neoliberalism that have intensified during this historical period. Examining three key policy moments through various grey literature, the article demonstrates how stigmatization has served to justify commodification, while the failure of the latter has been followed by intensified and bureaucratized stigmatization leading to new commodification efforts until culminating in the infamous 2018 ‘Ghetto Law’.

show abstract

”The ’Ghetto’ strikes back: resisting welfare sanctions and stigmatizing categorizations in marginalized residential areas in Denmark”

Abstract: Contribution to special issue of NSWR: Community work in Nordic welfare states in transitionconditions, dilemmas and directions "The 'Ghetto' Strikes back: Resisting welfare sanctions and stigmatizing categorizations in marginalized

Cited by 10 publications

References 28 publications

Association Between Urban Regeneration and Healthcare-Seeking Behavior of Affected Residents: A Natural Experiment in two Multi-Ethnic Deprived Housing Areas in Denmark

Association Between Urban Regeneration and Healthcare-Seeking Behavior of Affected Residents: A Natural Experiment in two Multi-Ethnic Deprived Housing Areas in Denmark

Modeling population distribution: A visual and quantitative analysis of gradient boosting and deep learning models for multi‐output spatial disaggregation

Territorial stigmatization and housing commodification under racial neoliberalism: The case of Denmark's ‘ghettos’

Contact Info

Product

Resources

About