Understanding Racial Tensions in Northern Ireland: Threat, Paranoia and the Fear of Loss

This paper will explore the development of increased group tensions in Northern Ireland
over the past decade with a special emphasis being placed upon rising racial tensions in cities such
as Belfast and Lisburn. The paper will analyse why Northern Ireland has been described as the new
race-hate capital of Europe and, through a case-study of Loyalism, will argue that if this growth in
racist sentiment is to be prevented, more needs to be done to understand the causes of such feeling,
particularly within loyalist working-class areas. I will argue that society as a whole needs to address
the fears and anxieties of those that perceive themselves to be under threat from the recent increase
in immigration or else we risk creating a new cause célèbre for those that would seek to extend the
lifetime of our paramilitary organisations. Moreover, at a time when loyalist communities feel politically
alienated and lacking representation, there is a real danger of British far-right groups exploiting the
situation and making long-term political capital.

Europeanization of Inequality and Europeanization of Reference Groups

In this article we take advantage of the availability of European Union Statistics on Income and Living Conditions (EU-SILC) data to address both weak and strong versions of the Europeanization of reference groups thesis. The former proposes that common standards of evaluation emerge as a consequence of knowledge of conditions in other societies. The latter argues that people increasingly perceive themselves as part of a larger European stratification system. Our analysis leads us to reject both versions of the thesis. Material deprivation rather than having a uniform effect is highly dependent on national context. If a process of convergence is underway, it is one that as yet has had a limited impact. In circumstances where the Europeanization of inequality is raising issues relating to both national and transnational forms of legitimacy, it is important to understand that there is no necessary relationship between such Europeanization and the Europeanization of reference groups.

Economic globalization, inequality and body mass index:a cross-national analysis of 127 countries

This article investigates to what extent the worldwide increase in body mass index (BMI) has been affected by economic globalization and inequality. We used time-series and longitudinal cross-national analysis of 127 countries from 1980 to 2008. Data on mean adult BMI were obtained from the Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group. Globalization was measured using the Swiss Economic Institute (KOF) index of economic globalization. Economic inequality between countries was measured with the mean difference in gross domestic product per capita purchasing power parity in international dollars. Economic inequality within countries was measured using the Gini index from the Standardized World Income Inequality Database. Other covariates including poverty, population size, urban population, openness to trade and foreign direct investment were taken from the World Development Indicators (WDI) database. Time-series regression analyses showed that the global increase in BMI is positively associated with both the index of economic globalization and inequality between countries, after adjustment for covariates. Longitudinal panel data analyses showed that the association between economic globalization and BMI is robust after controlling for all covariates and using different estimators. The association between economic inequality within countries and BMI, however, was significant only among high-income nations. More research is needed to study the pathways between economic globalization and BMI. These findings, however, contribute to explaining how contemporary globalization can be reformed to promote better health and control the global obesity epidemic. © 2013 Copyright Taylor and Francis Group, LLC.

Using macroscopic entanglement to close the detection loophole in Bell-inequality tests

We consider a Bell-like inequality performed using various instances of multiphoton entangled states to demonstrate that losses occurring after the unitary transformations used in the nonlocality test can be counteracted by enhancing the size of such entangled states. In turn, this feature can be used to overcome detection inefficiencies affecting the test itself: a slight increase in the size of such states, pushing them towards a more macroscopic form of entanglement, significantly improves the state robustness against detection inefficiency, thus easing the closing of the detection loophole. Differently, losses before the unitary transformations cause decoherence effects that cannot be compensated using macroscopic entanglement.

Drivers of inequality in disability-free expectancy at birth and age 85 across space and time in Great Britain

Background: Although mortality and health inequalities at birth have increased both geographically and in socioeconomic terms, little is known about inequalities at age 85, the fastest growing sector of the population in Great Britain (GB).

Aim: To determine whether trends and drivers of inequalities in life expectancy (LE) and disability-free life expectancy (DFLE) at age 85 between 1991 and 2001 are the same as those at birth.

Methods: DFLE at birth and age 85 for 1991 and 2001 by gender were calculated for each local authority in GB using the Sullivan method. Regression modelling was used to identify area characteristics (rurality, deprivation, social class composition, ethnicity, unemployment, retirement migration) that could explain inequalities in LE and DFLE.

Results: Similar to values at birth, LE and DFLE at age 85 both increased between 1991 and 2001 (though DFLE increased less than LE) and gaps across local areas widened (and more for DFLE than LE). The significantly greater increases in LE and DFLE at birth for less-deprived compared with more-deprived areas were still partly present at age 85. Considering all factors, inequalities in DFLE at birth were largely driven by social class composition and unemployment rate, but these associations appear to be less influential at age 85.

Conclusions: Inequalities between areas in LE and DFLE at birth and age 85 have increased over time though factors explaining inequalities at birth (mainly social class and unemployment rates) appear less important for inequalities at age 85.