The ‘Dark Side’ of Social Capital: A Cross-National Examination of the Relationship Between Social Capital and Violence in Africa

Social Indicators Research - Research and policy circles often emphasize the importance of social capital in achieving social transformation and economic development. There is also, however,...     

Civil Society Meta-organizations and Legitimating Processes: the Case of the Addiction Field in France

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - To cope with the new challenges inherent to their political role, civil society organizations must convince their...     

Accurate estimation for extra-Poisson variability assuming random effect models

In this study, the components of extra-Poisson variability are estimated assuming random effect models under a Bayesian approach. A standard existing methodology to estimate extra-Poisson variability assumes a negative binomial distribution. The obtained results show that using the proposed random effect model it is possible to get more accurate estimates for the extra-Poisson variability components when compared to the use of a negative binomial distribution where it is possible to estimate only one component of extra-Poisson variability. Some illustrative examples are introduced considering real data sets.     

A new regression model for bimodal data and applications in agriculture

We define the odd log-logistic exponential Gaussian regression with two systematic components, which extends the heteroscedastic Gaussian regression and it is suitable for bimodal data quite common in the agriculture area. We estimate the parameters by the method of maximum likelihood. Some simulations indicate that the maximum-likelihood estimators are accurate. The model assumptions are checked through case deletion and quantile residuals. The usefulness of the new regression model is illustrated by means of three real data sets in different areas of agriculture, where the data present bimodality.     

“Migrant Capital” and Domestic Work: Labour Trajectories of Immigrant Women in Spain

This article analyses the labour trajectory of migrant women in domestic service. The research considers women's working conditions upon arrival, or their “migrant capital” (i.e. their human, social and economic capital) as the defining factors in their labour trajectories. The study, conducted on a sample of migrant women in domestic service, reveals the different value each type of capital has at each stage of a labour trajectory. The social network is the core capital in their first job. Nevertheless, the key factors in labour mobility are human capital and a household's financial needs. The processes of administrative regularization and family reunification prompt far‐reaching changes in these women's labour trajectories. Finally, labour trajectories during the economic crisis have been shaped by financial needs, leading to a decapitalization of the human capital acquired, with even legal status surrendering its value.     

Urban ecosystem Services in Latin America: mismatch between global concepts and regional realities?

Urban Ecosystems - Latin America and the Caribbean (LAC) is one of the most urbanized and biologically diverse regions in the world but is often characterized by weak environmental governance and...     

Dealing with Migrants in the Central Mediterranean Route: A Legal Analysis of Recent Bilateral Agreements Between Italy and Libya

Dealing with the current flow of migrants flocking to the shores of southern European countries remains high on the international agenda. At the end of 2016, 276,957 migrants were waiting in Libya to cross the sea. Many of them were subject to human rights violations and abuses such as arbitrary detention, torture, unlawful killings, sexual exploitation and even slavery (IOM, 2017). The international response has been, so far, insufficient and new ideas and practices are urgently needed. After providing an overview of the legal framework and of the efforts carried out by the relevant international and regional organizations, this article focuses on recent treaties concluded between Italy and Libya, and argues that the new bilateral agreements represent an example of how States are responding to this challenge in an attempt to strike a balance between the need to strengthen the protection of migrants’ rights and the necessity to guarantee the security of national borders.     

Japanese Children’s Knowledge of the Facial Components of Basic Emotions

While numerous studies have investigated children’s recognition of facial emotional expressions, little evidence has been gathered concerning their explicit knowledge of the components included in such expressions. Thus, we investigated children’s knowledge of the facial components involved in the expressions of happiness, sadness, anger, and surprise. Four- and 5-year-old Japanese children were presented with the blank face of a young character, and asked to select facial components in order to depict the emotions he felt. Children’s overall performance in the task increased as a function of age, and was above chance level for each emotion in both age groups. Children were likely to select the Cheek raiser and Lip corner puller to depict happiness, the Inner brow raiser, Brow lowerer, and Lid droop to depict sadness, the Brow lowerer and Upper lid raiser to depict anger, and the Upper lid raiser and Jaw drop to depict surprise. Furthermore, older children demonstrated a better knowledge of the involvement of the Upper lid raiser in surprise expressions.     

The importance of being mature: the effect of demographic maturation on global per capita GDP

Given that savings behaviour and worker productivity have strong life-cycle components and given that demographic profiles vary across countries, population age structure should be linked to differences in levels of economic development. In this paper, we measure the economic importance of age structure variation for the global economy. We find that demographic maturation has been associated with nearly half of the evolution of global per capita GDP since 1960. We also find that age structure differences can account for just over half of the variation in worldwide per capita GDP (i.e. the lack of sigma convergence) observed since 1960.