Universalism, diversity and norms: gratitude, healthcare and welfare chauvinism

Solidarity in diverse societies: beyond neoliberal multiculturalism and welfare chauvinism

In the postwar period, projects of social justice have often drawn upon ideas of national solidarity, calling upon shared national identities to mobilize support for the welfare state. Several commentators have argued that increasing immigration, and the multiculturalism policies it often gives rise to, weaken this sense of national solidarity. This creates a potential “progressive’s dilemma”, ...

Work norms and the welfare state

Many European countries still provide their citizens with social insurance programs of unprecedented generosity. A cultural critique of the welfare state contends that generous social insurance has detrimental effects on work norms. This paper revisits the model of endogenous work ethic developed by Lindbeck and Nyberg (2006) and explores survey evidence on the relationship between social spend...

The assault on universalism: how to destroy the welfare state.

constructing a cultural dimensions scale and investigating efl teacher burnout,iranian identity components, and the norms of khorasan razavi culture

این تحقیق در ساختار چهار مرحله ای خود هشت هدف را دنبال کرد: در مرحله اول، تنها هدف طراحی و معتبر سازی پرسشنامه ای بومی بر اساس مدل فرهنگی شش بعدی هافستد (2010) بود. این کار با استفاده از داده های جمع شده از 370 نفر و توسط روش آماری sem انجام شد. مرحله دوم که با استفاده از داده های جمع شده از 170 معلم زبان انگلیسی انجام شد دارای دو هدف بود: هدف اول، بررسی فرسایش کاری معلمان زبان از دید ابعاد فره...

Correspondence between probabilistic norms and fuzzy norms

In this paper, the connection between Menger probabilistic norms and H"{o}hle probabilistic norms is discussed. In addition, the correspondence between probabilistic norms and Wu-Fang fuzzy (semi-) norms is established. It is shown that a probabilistic norm (with triangular norm $min$) can generate a Wu-Fang fuzzy semi-norm and conversely, a Wu-Fang fuzzy norm can generate a probabilistic norm.