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Social theory has long predicted that social mobility, in particular downward social mobility, is detrimental to the well-being of individuals. Dissociative and “falling from grace” theories suggest that mobility is stressful due to the weakening of social ties, feelings of alienation, and loss of status. In light of these theories, it is a puzzle that the majority of quantitative studies in this area have shown null results. Our approach to resolve the puzzle is two-fold. First, we argue for a broader conception of the mobility process than is often used and thus focus on intragenerational occupational class mobility rather than restricting ourselves to the more commonly studied intergenerational mobility. Second, we argue that self-reported measures may be biased by habituation (or “entrenched deprivation”). Using nurse-collected health and biomarker data from the UK Household Longitudinal Study (2010–2012, N = 4,123), we derive a measure of allostatic load as an objective gauge of physiological “wear and tear” and compare patterns of mobility effects with self-reports of health using diagonal reference models. Our findings indicate a strong class gradient in both allostatic load and self-rated health, and that both first and current job matter for current well-being outcomes. However, in terms of the effects of mobility itself, we find that intragenerational social mobility is consequential for allostatic load, but not for self-rated health. Downward mobility is detrimental and upward mobility beneficial for well-being as assessed by allostatic load. Thus, these findings do not support the idea of generalized stress from dissociation, but they do support the “falling from grace” hypothesis of negative downward mobility effects. Our findings have a further implication, namely that the differences in mobility effects between the objective and subjective outcome infer the presence of entrenched deprivation. Null results in studies of self-rated outcomes may therefore be a methodological artifact, rather than an outright rejection of decades-old social theory.
High-throughput proteomics approaches have resulted in large-scale protein–protein interaction (PPI) networks that have been employed for the prediction of protein complexes. However, PPI networks contain false-positive as well as false-negative PPIs that affect the protein complex prediction algorithms. To address this issue, here we propose an algorithm called CUBCO+ that: (1) employs GO semantic similarity to retain only biologically relevant interactions with a high similarity score, (2) based on link prediction approaches, scores the false-negative edges, and (3) incorporates the resulting scores to predict protein complexes. Through comprehensive analyses with PPIs from Escherichia coli, Saccharomyces cerevisiae, and Homo sapiens, we show that CUBCO+ performs as well as the approaches that predict protein complexes based on recently introduced graph partitions into biclique spanned subgraphs and outperforms the other state-of-the-art approaches. Moreover, we illustrate that in combination with GO semantic similarity, CUBCO+ enables us to predict more accurate protein complexes in 36% of the cases in comparison to CUBCO as its predecessor.
For many years scholars and politicians discuss the economic importance of the middle income class. Our article contributes to broaden the present state of research by not only examining the structure of the middle class whilst focusing on individual attributes, but by especially taking the role of gender-specific occupational characteristics and country-specific conditions into account. Based on the EU-SILC data 2020 for 17 countries, we analyze which factors affect the structure of the middle income class on the individual, on the occupational and country level. Our findings show that occupational attributes (e.g. part-time rate) prove to be highly relevant in this realm. Moreover, significant gender differences can be observed: women who work in an occupation which is mainly performed by women bear a higher risk of belonging to the lower income class as compared to men.
Immense uncertainty and the need for drastic interventions cause politicians to rely heavily on scientific advice for underpinning or legitimating their COVID-19 decision-making. This paper explores the role of scientific advice in this policy field in Germany, Italy, the Netherlands and the UK. It shows that scientific advice is based on the disciplinary, mainly medical, backgrounds of advisors but is also influenced by social and economic values, which are core to what politicians find important. During the pandemic a growing gap between scientific advice and political decisions is observed.
Schools are key contexts for the development of adolescents' critical consciousness. We explored how three dimensions of the classroom cultural diversity climate (critical consciousness, color-evasion, and multiculturalism) related to adolescents' critical reflection (i.e., perceived societal Islamophobia) and intended critical action (i.e., political activism). Our sample included adolescents experiencing high (second generation, Muslim, N = 237) versus low (non-immigrant descent, non-Muslim, N = 478) stigmatization in Germany. Multilevel analyses revealed that for both groups a critical consciousness climate, but not a color-evasive or a multicultural climate, was positively associated with perceived societal Islamophobia and intended critical action. Thus, to promote adolescents' critical consciousness, schools should go beyond emphasizing a common humanity and celebrating cultural diversity and include explicit discussions of social inequity.
Potentially disabled?
(2022)
Ten years ago, I was diagnosed with a rare illness called Myasthenia Gravis. Myasthenia Gravis is a long-term neuromuscular autoimmune disease where antibodies block or destroy specific receptors at the junction between nerve and muscle; hence, nerve impulses fail to trigger muscle contractions. The disease leads to varying degrees of muscle weakness. Currently, I have only minor symptoms, I am not seriously impaired, and I do not suffer from any social disadvantage because of my illness. Yet, my life and my body since my diagnosis feel different than before. In this paper I aim to make this feeling intelligible and propose that it is a state of what I call ‘latent impairment’. Latent impairment is a state of being ‘in between’, different from being actually impaired and also different from being abled-bodied. The theory takes its cues both from social constructionist theories of disability as well as theories of (chronic) illness and their focus on the importance of subjectivity. Furthermore, I suggest that a phenomenological understanding of latent impairment can show possible ways of becoming an ally to the DRM.
Job satisfaction is a major driver of an individual’s subjective well-being and thus affects public health, societal prosperity, and organisations, as dissatisfied employees are less productive and more likely to change jobs. However, changing jobs does not necessarily lead to higher job satisfaction in the long run. Previous studies have shown, instead, that changing jobs only increases job satisfaction for a short period of time before it gradually falls back to similar levels as before. This phenomenon is known as the ’honeymoon–hangover’ pattern. In our study, we identify an important new moderator of the relation between job change and job satisfaction: the job–education match of job changes. Based on relative deprivation theory, we argue that job changes from being overeducated in a job lowers the likelihood of negative comparisons and thus increases the honeymoon period, lessens the hangover period, and increases long-term job satisfaction. We use data from the Socio-Economic Panel ranging from 1994–2018 and focus specifically on individual periods of employees before and after job changes (n = 134,404). Our results confirm that a change to a job that requires a matched education has a stronger and longer-lasting effect on job satisfaction, and that this effect is slightly lower for respondents born abroad.
Is There a Rural Penalty in Language Acquisition? Evidence From Germany's Refugee Allocation Policy
(2022)
Emerging evidence has highlighted the important role of local contexts for integration trajectories of asylum seekers and refugees. Germany's policy of randomly allocating asylum seekers across Germany may advantage some and disadvantage others in terms of opportunities for equal participation in society. This study explores the question whether asylum seekers that have been allocated to rural areas experience disadvantages in terms of language acquisition compared to those allocated to urban areas. We derive testable assumptions using a Directed Acyclic Graph (DAG) which are then tested using large-N survey data (IAB-BAMF-SOEP refugee survey). We find that living in a rural area has no negative total effect on language skills. Further the findings suggest that the “null effect” is the result of two processes which offset each other: while asylum seekers in rural areas have slightly lower access for formal, federally organized language courses, they have more regular exposure to German speakers.
This article examines how challenger parties enter the political arena and the effect of this entry by looking at the Italian 5 Star Movement (Movimento 5 Stelle – M5S). We explain the M5S's entry strategy in 2013 using the spatial approach to party competition and employing expert survey data collected for each national election between 2008 and 2018. These data allow us to analyse the changing spatial configuration of Italian politics due to the increasing salience of pro/anti-EU and pro/anti-immigration dimensions. We then apply the theoretical notion of the uncovered set (UCS) to trace how the M5S's entry reshaped the overall space of party competition, causing a realignment of existing parties. This work contributes to the ongoing debate on the electoral success of challenger parties and the emerging cleavages and polarization of party systems in Western European countries.
Die Mehrheit aktueller Studien schätzt das Transformationspotenzial digitaler Technologien für Organisationen hoch ein. In Auseinandersetzung mit dieser Einschätzung entwickelt der Artikel eine konzeptionelle organisationssoziologische Perspektive auf das Verhältnis von Organisation und digitalen Technologien. Wir nutzen diese Perspektive, um den Fall des Predictive Policing in Deutschland zu betrachten und die Entscheidung zur Adaption der Technologie, ihre organisationale Situierung sowie die Rolle des Organisationstyps zu diskutieren. Unsere Perspektive führt zu einem zurückhaltenden Urteil über das Transformationspotenzial dieser digitalen Technologie, die wir daher als Reform unter anderen Reformen begreifen. Insgesamt argumentieren wir dafür, Digitalisierung stärker als bisher als heterogenen Prozess zu verstehen.
Divorce à l’allemande
(2022)
Avec la création de l’Académie de sociologie (AS), le champ sociologique allemand compte désormais une nouvelle association professionnelle qui s’ajoute à la Société allemande de sociologie (DGS), établie de longue date. Cet article passe en revue les principales positions discursives, les sujets de controverse majeurs ainsi que les grandes lignes de fracture qui ont conduit à ce schisme. Les conflits contemporains sont interprétés au travers d’une représentation empirique du champ de la sociologie allemande. De manière générale, la sociologie allemande contemporaine apparaît une fois de plus dominée par deux camps opposés, arbitrairement définis mais puissants, qui se partagent la domination d’une discipline, pourtant réellement pluraliste.
Studies from several countries suggest that COVID-19 vaccination rates are lower among migrants compared to the general population. Urgent calls have been made to improve vaccine outreach to migrants, however, there is limited evidence on effective approaches, especially using social media. We assessed a targeted, low-cost, Facebook campaign disseminating COVID-19 vaccine information among Arabic, Turkish and Russian speakers in Germany (N = 888,994). As part of the campaign, we conducted two randomized, online experiments to assess the impact of the advertisement (1) language and (2) depicted messenger (government authority, religious leader, doctor or family). Key outcomes included reach, click-through rates, conversion rates and cost-effectiveness. Within 29 days, the campaign reached 890 thousand Facebook users. On average, 2.3 individuals accessed the advertised COVID-19 vaccination appointment tool for every euro spent on the campaign. Migrants were 2.4 (Arabic), 1.8 (Russian) and 1.2 (Turkish) times more likely to click on advertisements translated to their native language compared to German-language advertisements. Furthermore, findings showed that government representatives can be more successful in engaging migrants online compared to other messengers, despite common claims of lower trust in government institutions among migrants. This study highlights the potential of tailored, and translated, vaccination campaigns on social media for reaching migrants who may be left out by traditional media campaigns.
Residential segregation is a wide-spread phenomenon that can be observed in almost every major city.
In these urban areas residents with different racial or socioeconomic background tend to form homogeneous clusters.
Schelling's famous agent-based model for residential segregation explains how such clusters can form even if all agents are tolerant, i.e., if they agree to live in mixed neighborhoods.
For segregation to occur, all it needs is a slight bias towards agents preferring similar neighbors.
Very recently, Schelling's model has been investigated from a game-theoretic point of view with selfish agents that strategically select their residential location.
In these games, agents can improve on their current location by performing a location swap with another agent who is willing to swap.
We significantly deepen these investigations by studying the influence of the underlying topology modeling the residential area on the existence of equilibria, the Price of Anarchy and on the dynamic properties of the resulting strategic multi-agent system. Moreover, as a new conceptual contribution, we also consider the influence of locality, i.e., if the location swaps are restricted to swaps of neighboring agents.
We give improved almost tight bounds on the Price of Anarchy for arbitrary underlying graphs and we present (almost) tight bounds for regular graphs, paths and cycles. Moreover, we give almost tight bounds for grids, which are commonly used in empirical studies.
For grids we also show that locality has a severe impact on the game dynamics.
In this paper, we show how socialist planning can be based on input-output data. We argue that the information required for this can be obtained by a central planning agency and thus dismiss Hayek’s information argument against socialism. We further show how economic planning can be made responsive to consumer demand through a feedback control mechanism. Output targets of products would be adjusted in response to observed consumer demand or based on predictions about future demand. Planners can use machine learning to make more accurate forecasts. The valuation of goods plays an important role in the feedback control mechanism. The values of goods can either be measured by the labour time necessary for their production (labour values) or through shadow prices based on linear programming.
Competence development must change at all didactic levels to meet the new requirements triggered by digitization. Unlike classic learning theories and the resulting popular approaches (e.g., sender-receiver model), future-oriented vocational training must include new learning theory impulses in the discussion about competence acquisition. On the one hand, these impulses are often very well elaborated on the theoretical side, but the transfer into innovative learning environments - such as learning factories - is often still missing. On the other hand, actual learning factory (design) approaches often concentrate primarily on the technical side. Subject-oriented learning theory enables the design of competence development-oriented vocational training projectsin learning factories in which persons can obtain relevant competencies for digitization. At the same time, such learning theory approaches assume a potentially infinite number of learning interests and reasons. Following this, competence development is always located in an institutional or organizational context. The paper conceptionally answers how this theoryimmanent challenge is synthesizable with the reality of organizationally competence development requirements.
Bei der Festsetzung des Gefahrtarifs steht den Unfallversicherungsträgern nach § 157 SGB VII ein weiter Gestaltungsspielraum zu. An Grenzen stößt er bei der Zusammenfassung verschiedener Gewerbezweige in einer Tarifstelle. Unternehmensarten, die ein vom Durchschnitt der Tarifstelle erheblich abweichendes Gefährdungsrisiko haben, steht ein Anspruch auf Verselbstständigung als eigene Tarifstelle oder auf Neuzuordnung zu einer anderen, passenderen Tarifstelle zu. Ein fester Grenzwert für eine nicht mehr zulässige Abweichung der Belastungsziffer von Unternehmen von der Belastungsziffer des Tarifstellendurchschnitts hat sich aber bislang nicht herausgebildet. Der vorliegende Teil I befasst sich mit dem rechtlichen Rahmen für die Tarifstellenbildung im Gefahrtarif. Teil II (abgedruckt in einem der nächsten Hefte der SGb 2023) geht auf den aktuellen Fall des 4. Gefahrtarifs der BG BAU ein.
Der Beitrag hat sich in Teil 1 (abgedruckt in SGb 2023, 461 ff.) dem rechtlichen Rahmen und den offenen Rechtsfragen bei der Gliederung des Gefahrtarifs nach Tarifstellen gewidmet. Teil 2 zeigt anhand des aktuellen Falls des 4. Gefahrtarifs der BG BAU, welche Rechtsfehler zur Rechtswidrigkeit von Gefahrtarifen führen.
Über kaum ein Thema werden so hitzige Debatten geführt wie über Geschlechtsidentität. Das Wissen darum, dass Gender sozial konstruiert ist, wird von Anti-Gender Aktivist*innen häufig als ‚Gender-Ideologie‘ bezeichnet und ruft heftige Gegenreaktionen hervor. Dies gilt nicht nur in Deutschland – sondern länderübergreifend. Auffällig viele der transnationalen Anti- Gender Mobilisierungen der letzten 20 Jahre finden bezogen auf Bildungseinrichtungen statt. Dieser Beitrag widmet sich der besonderen Rolle der Universität und der Wissenschaft für transnationale Anti-Gender Diskurse. Anhand verschiedener Beispiele zeige ich auf, dass das Verhältnis zwischen Anti-Gender Bewegungen und Wissenschaft geprägt ist von widersprüchlichen Dynamiken, von Abgrenzung aber auch Imitation. In ihrem Zusammenspiel wirken beide Dynamiken mobilisierend und tragen zum Erstarken regressiver Rollenbilder und antidemokratischer rechter Bewegungen in der breiteren Gesellschaft bei. Der letzte Teil des Beitrags ruft daher zu mehr Selbstreflexion der wissenschaftlichen Praxis auf Grundlage feministischer und intersektionaler Ansätze auf.
This essay takes an Anglophone Cultural Studies approach to reflect on the interdependence among as well as the individual (implicit) impact of the elements constituting our (embodied) power structures. These are, e.g., bodily experience/s such as shame and fear, everyday and institutional discourses and practices, but also manifestations of differences and particularities that we transform into phenomena such as “norms”, “binary systems” and “binary organisations”. The analysis of seemingly cyclic “Othering processes” and patterns of violence shows how people who identify as trans*, inter*, or non-binary have to live through and embody epistemological, emotional, and/or physical violence. At the same time, the descriptions illustrate numberless potential forms of resistance and change.