Dropout of Hospital Volunteers in Italy

Voluntary work in Charities is a constantly growing reality: in particular, in the last few years, voluntary work in hospitals has become of great importance, marking a substantial increase of commitment in social issues. However, at the same time, volunteering Charities have been plagued by the increase of the phenomenon of dropout, that is, volunteers abandoning the Charitable Association they’re working in, often after a relatively short period of activity. In this study, we attempted to verify if and how active and dropped out volunteers perceive their own activity as a source of anxiety and stress. Our data show that both active and dropped out volunteers show high levels of burnout; in fact, dropped out volunteers show higher levels of burnout, especially of emotional exhaustion, in comparison with active volunteers. Subsequently, we identified the factors potentially assuming the role of mediators or moderators in the direct relation involving the status of voluntary work activity and the levels of anxiety and burnout. Our study demonstrates that coping strategies and the relationship established with hospital workers can be considered good moderators.     

School-to-work transitions in times of crisis: the case of Spanish youth without qualifications

This article focuses on the school-to-work transitions of Spanish youth. Herein, we study the pathways followed during a 10-year period by young people who dropped out of school without achieving any qualifications and who did not achieve any at a later date. This is a population aged 26–28 years old with an educational level of ISCED 0–1. The study adopts a plurimethodological approach that includes an initial qualitative phase whose main instrument was the biographical interview and a second phase with a quantitative focus in which data were collected using a questionnaire. The results show the effect of dropping out of education without qualifications on the pathways of the youths as well as their greater vulnerability in the current period of economic crisis, which results in a high percentage of the population that has no employment, education or training. This effect is even greater among women. This study highlights the difficulties associated to returning to education, the reproduction of educational exclusion in the population that did not obtain the diploma corresponding to compulsory secondary education, and a lack of public policies to support this specific population.     

“Free spaces” in collective action

Theory and Society -     

Is Participation Without Power Good Enough? Introduction to “Democracy Now: Ethnographies of Contemporary Participation”

This introduction to the section Democracy Now: Ethnographies of Contemporary Participation sketches a contemporary enthusiasm for participation that reaches across business, education, popular culture, and politics. The article tries to account for what makes this enthusiasm new and begins to sketch its implications for what people want and expect from their political and economic institutions.     

Regional Proximity Factor: An Advantage or a Disadvantage for Development?

This paper will focus on the assumption that in the actual globalized system, the role of the State is completely changed due to the new global players that are emerging as international and regional organizations. In this context, the regional proximity factor has acquired great importance, as the three case studies will demonstrate. For this purpose, we will introduce some alternative variables to facilitate the use of economic, political and social tools. Then, we will compare countries’ performances at the global and regional level and their social, economic and political results, in order to improve the utilization of the regional proximity factor as a tool to analyze the international relations dynamics and the innovative national approach to the international opening     

Estimating percentile-specific treatment effects in counterfactual models: a case-study of micronutrient supplementation, birth weight and infant mortality

Summary.  Clinical trials of micronutrient supplementation are aimed at reducing the risk of infant mortality by increasing birth weight. Because infant mortality is greatest among the low birth weight (LBW) infants (2500 g or under), an effective intervention increases the birth weight among the smallest babies. The paper defines population and counterfactual parameters for estimating the treatment effects on birth weight and on survival as functions of the percentiles of the birth weight distribution. We use a Bayesian approach with data augmentation to approximate the posterior distributions of the parameters, taking into account uncertainty that is associated with the imputation of the counterfactuals. This approach is particularly suitable for exploring the sensitivity of the results to unverifiable modelling assumptions and other prior beliefs. We estimate that the average causal effect of the treatment on birth weight is 72 g (95% posterior regions 33–110 g) and that this causal effect is largest among the LBW infants. Posterior inferences about average causal effects of the treatment on birth weight are robust to modelling assumptions. However, inferences about causal effects for babies at the tails of the birth weight distribution can be highly sensitive to the unverifiable assumption about the correl-ation between the observed and the counterfactuals birth weights. Among the LBW infants who have a large causal effect of the treatment on birth weight, we estimate that a baby receiving the treatment has 5% less chance of death than if the same baby had received the control. Among the LBW infants, we found weak evidence supporting an additional beneficial effect of the treatment on mortality independent of birth weight.     

John U. Ogbu: a personal recollection1 2

The article presents a portrait of the late anthropologist John U. Ogbu through the author’s personal recollections of him as a social scientist, a teacher, a colleague and a longtime friend.     

Identification of latent class Markov models with multiple indicators and correlated measurement errors

Statistical Methods & Applications - A necessary condition for identification of latent class models is that the number of unknown independent parameters must not be greater than the number of...