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Im Zentrum dieser Forschungsnotiz steht die Frage nach der Bewertung von Einkommensungleichheit in der österreichischen Gegenwartsgesellschaft. Anhand von ISSP- und SSÖ-Daten können unsere Analysen diesbezüglich zeigen, dass Einkommensungleichheit von einer großen Mehrheit aktuell als zu hoch wahrgenommen wird. Zudem sehen die Menschen in Österreich sehr häufig den Staat in der Verantwortung Einkommensungleichheit abzubauen; viel häufiger als das in anderen europäischen Ländern der Fall ist. Während der Bereich Gesundheit und Pension seit Mitte der 1980er von der überwiegenden Mehrheit als staatliche Aufgabe gesehen wurde, liegt die Verantwortung für den Abbau von Einkommensungleichheit auf einem niedrigeren Zustimmungsniveau. Die Befürwortung der Absicherung von Arbeitslosen als Verantwortung des Staats nimmt aktuell eher ab, trotz der gestiegenen Arbeitslosigkeit zu Beginn der Pandemie. Schließlich zeigen unsere Regressionsanalysen, dass Unterschiede in der Beurteilung von Einkommensungleichheiten u. a. durch sozio-demographische Faktoren, die berufliche Stellung, das Haushaltseinkommen aber auch durch persönliche Einstellungen und Gerechtigkeitsüberzeugungen erklärt werden können.
Die schrumpfende Mittelschicht ist nicht nur in der Öffentlichkeit ein vieldiskutierter Themenbereich. Eine Vielzahl an wissenschaftlichen Fachdisziplinen setzt sich aus unterschiedlichen Perspektiven mit der Mittelschicht im Kontext des Wandels von Schichtungsgefügen auseinander. Während die gesellschaftliche Mitte in Deutschland ein etabliertes Forschungsgebiet ist, liegen für Österreich hingegen bislang kaum Studien vor. Vor diesem Hintergrund vereint der Sammelband konzeptionelle und empirische Beiträge zur österreichischen Mittelschicht aus Soziologie, Politikwissenschaften, Staatswissenschaft, und Zeitgeschichte. Ziel ist die umfassende multidisziplinäre Darstellung des Status Quo der Mittelschicht in Österreich. Die Beiträge in diesem Sammelband bieten einen Überblick über historische Perspektiven, unterschiedliche Theorietraditionen, sowie gegenwärtige empirische Befunde und sozialpolitische Analysen.
Der abschließende Beitrag des multidisziplinären Sammelbands zielt darauf ab Perspektiven und Befunde zur Mittelschicht in Österreich aus der Soziologie, der Ökonomie, den Politikwissenschaften und der Zeitgeschichte zusammenzufassen und Verknüpfungen zwischen unterschiedlichen Analysen und Disziplinen zu benennen. Im Ergebnis liefert diese systematisierende Analyse der Beiträge einen umfassenden status quo der österreichischen Mitte in Hinblick auf Bildungserträge, Religionsausübung, Solidaritäts- und Abgrenzungsprozesse, Wahlverhalten, Vertrauen in Institutionen, psychische Gesundheit, Geschlechterungleichheit und vieles mehr. Vor dem Hintergrund dieser Diskussion und werden neun Thesen zur jüngsten und zukünftigen Entwicklung der unter Druck stehenden gesellschaftlichen Mitte formulieren. Diese Thesen können als Beitrag zu einer laufenden gesellschaftspolitischen Debatte aber auch als Anregung für weitere sozialwissenschaftliche Forschung verstanden werden.
Labour market entry poses enormous challenges for recently arrived refugees, ranging from language barriers, devaluation of human capital, unfamiliarity with customs of the job search process to outright discrimination. How can refugees overcome these challenges and quickly enter gainful employment? In this paper, we draw on interviews with 26 male and female refugees from Syria, Afghanistan, Iraq and Iran, conducted in 2017 and 2018, who came to Austria in 2015 and 2014 and who have successfully entered employment. We depict refugees’ own perspectives on and strategies for fast job entry and integration. Personal agency and a proactive approach of seeking and seizing opportunities are key for overcoming initial barriers and entering upon positive integration pathways. At the same time, refugees’ personal agency is essential for establishing social ties to the host society, which also play a crucial role in early labour market integration. Finally, institutions of the Austrian labour market (the ‘apprenticeship’-system) interact with refugees’ agency in most intricate ways, both setting up nearly insurmountable barriers but also providing specific opportunities for refugees.
Vienna's resilience
(2022)
This chapter provides a synthesis of the volume, bringing together the aspects that characterise each of the single policy domains analysed throughout and highlighting their synergic effects on the output. In particular, it addresses the dualisation tendencies between ‘winners’ and ‘losers’ in Vienna’s urban transformation in the changing dimensions of social stratification, on the one hand; and the mechanisms of institutional resilience, on the other hand. Despite the inclusive welfare system, emerging vulnerabilities currently pose new challenges for Vienna’s redistributive capacity in the key policy areas. Existing institutional arrangements and their regulatory capacities are a good starting point to answer the question: is Vienna still a just city?
Ausgehend von Bourdieus Kapitaltheorie diskutieren wir in diesem Beitrag, inwiefern ökonomisch verwertbare personenbezogene Daten als Fundament einer eigenständigen Form eines neuen digitalen Kapitals gesehen werden können. Als wertvolles und umkämpftes Gut entfaltet es in spezifischen Feldern eine soziale Wirkmächtigkeit und spiegelt sich in den Reproduktionsstrategien von Akteur*innen und korrespondierenden Ungleichheitsstrukturen.
The digitization process has triggered a profound transformation of modern societies. It encompasses a broad spectrum of technical, social, political, cultural and economic developments related to the mass use of computer- and internet-based technologies. It is now becoming increasingly clear that digitization is also changing existing structures of social inequality and that new structures of digital inequality are emerging. This is shown by a growing number of recent individual studies. In this paper, we set ourselves the task of systematizing this new research within the framework of an empirically supported literature review. To do so, we use the PRISMA model for literature reviews and focus on three central dimensions of inequality - ethnicity, gender, and age - and their relevance within the discourse on digitization and inequality. The empirical basis consists of journal articles published between 2000 and 2020 and listed on the Web of Science, as well as an additional Google Scholar search, through which we attempt to include important monographs and contributions to edited volumes in our analyses. Our text corpus thus comprises a total of 281 articles. Empirically, our literature review shows that unequal access to digital resources largely reproduces existing structures of inequality; in some cases, studies report a reduction in social inequalities as a result of the digitization process.
Social institutions
(2024)
Social institutions are a system of behavioral and relationship patterns that are densely interwoven and enduring and function across an entire society. They order and structure the behavior of individuals in core areas of society and thus have a strong impact on the quality of life of individuals. Institutions regulate the following: (a) family and relationship networks carry out social reproduction and socialization; (b) institutions in the realm of education and training ensure the transmission and cultivation of knowledge, abilities, and specialized skills; (c) institutions in the labor market and economy provide for the production and distribution of goods and services; (d) institutions in the realm of law, governance, and politics provide for the maintenance of the social order; (e) while cultural, media, and religious institutions further the development of contexts of meaning, value orientations, and symbolic codes.
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
Value research has a long and extensive history of theoretical definitions and empirical investigations using large scale quantitative surveys. However, the way the general population understands, defines, and relates to the concept of values, and how these views vary across individuals is seldom addressed. The present study examined subjective interpretations of the term through focus group interviews, and reports on the development of a Value Conceptualisation Scale (VCS) that distinguishes six dimensions of different views on values: normativity, relevance, validity, stability, consistency, and awareness. Focus group interviews (n = 38) as well as several surveys (n = 100, n = 1519, n = 903, n = 94) were used to develop, refine, and test the scale in terms of response variety, temporal stability, as well as convergent and discriminant validity. These systematic results show that views on values do indeed vary significantly between participants. Correlations with dogmatism, preference for consistency, and metacognition were found for corresponding dimensions. The VCS provides an original measure, which enables future research to explore this variation on the conceptualisation of values.
Value research has a long and extensive history of theoretical definitions and empirical investigations using large scale quantitative surveys. However, the way the general population understands, defines, and relates to the concept of values, and how these views vary across individuals is seldom addressed. The present study examined subjective interpretations of the term through focus group interviews, and reports on the development of a Value Conceptualisation Scale (VCS) that distinguishes six dimensions of different views on values: normativity, relevance, validity, stability, consistency, and awareness. Focus group interviews (n = 38) as well as several surveys (n = 100, n = 1519, n = 903, n = 94) were used to develop, refine, and test the scale in terms of response variety, temporal stability, as well as convergent and discriminant validity. These systematic results show that views on values do indeed vary significantly between participants. Correlations with dogmatism, preference for consistency, and metacognition were found for corresponding dimensions. The VCS provides an original measure, which enables future research to explore this variation on the conceptualisation of values.
The social stratification systems of major cities are transforming all around the globe. International research has been discussing this trend and focus on changing occupational classes. However, the precise effects on urban households, taking social welfare and different family arrangements into account, as well as the precise effects on people with a migration background, remain unclear. Using the example of Vienna, this article examines immigration as a key dimension for social stratification. Although household income structures in Austria have remained comparatively stable over the past two decades, the middle-income share in Vienna (as the sole metropolis in Austria) has dramatically decreased. This predominantly affects people from migrant backgrounds. Using a comprehensive dataset (two waves, N = 16,700 participants, including N = 4,500 migrants), we systematically examine the role of (a) migration-specific and (b) education- and employment-related factors to explain the decline of middle-income migrants. The results of multinomial logistic regression and decomposition analyses suggest that transformations in the labour market is the main driving force. Changing migrant characteristics have counteracted this process. If today's migrants displayed similar showed characteristics (e.g., origin and educational levels) to those prevalent in the past decade, the ethnic stratification disparities would have been even stronger.