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.     

Conceptualizing Childbearing Ambivalence: A Social and Dynamic Perspective

Childbearing ambivalence is often conceptualized as a state of conflicting desires about having a child that is characteristic of particular individuals or life stages. This study proposes that childbearing ambivalence is dynamic and situational, resulting from the multiple sociocultural frames surrounding childbearing. Using eight waves of prospective data from a population‐based sample of young adults in Malawi, results show that 41% of women and 48% of men are ambivalent about childbearing at some point in the 2.5‐year study. There is limited evidence that ambivalence is related to individual sociodemographic or psychosocial characteristics aside from gender; rather, ambivalence is tied to life course markers such as school enrollment and age. In addition, life course transitions and changes in relationships, health, and economic factors are associated with the onset of ambivalence, supporting the theory that ambivalence is a dynamic state that men and women frequently pass through as their lives and circumstances change.     

Framing the Women’s March on Washington: Media coverage and organizational messaging alignment

Half a million citizens participated in the Women’s March on Washington the day after President Trump’s inauguration, starting a political movement. The march communicated key messages to the public directly and via the media. This study explores how media coverage framed those key messages through content analysis. Media frames mentioned all key messages, emphasizing solidarity and activation at the grassroots, and in a way that both supported and challenged organizational messages. Theoretical and practical implications are discussed.     

‘What Was I Thinking?!’ Rhetorical Questions as a Technique to Identify and Explore Impasses in Therapy

Rhetorical questions emerging spontaneously in consultations can be used as a tool for developing self‐reflexivity and exploring the therapeutic alliance in the process of therapy with couples and families. This paper presents a technique based on the enunciation of rhetorical questions, which can point to an impasse in the process of therapy and contain a key to its resolution. The technique focuses on the distinctive feature of rhetorical questions as convening a paradoxical injunction: a question not intended as a question, while uttered as such. The technique in four steps is illustrated by examples from therapy, supervision, consultation, and self‐supervision. Its focus is the interlink between the therapeutic relationship and the process of therapy and it is informed by a second‐order cybernetics approach, dialogical practice, and the systemic literature on emotion. The technique can help develop curiosity in working with families, lead to unforeseen developments, and touch on prejudices not made explicit in previous therapeutic encounters. Whether we are acting as supervisors, therapists, or clients, the creation of a ‘secure enough’ context for rhetorical questions becomes critical to allow freeform exploration.     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.     

Forward irrelevance

We investigate how to combine marginal assessments about the values that random variables assume separately into a model for the values that they assume jointly, when (i) these marginal assessments are modelled by means of coherent lower previsions and (ii) we have the additional assumption that the random variables are forward epistemically irrelevant to each other. We consider and provide arguments for two possible combinations, namely the forward irrelevant natural extension and the forward irrelevant product, and we study the relationships between them. Our treatment also uncovers an interesting connection between the behavioural theory of coherent lower previsions, and Shafer and Vovk's game-theoretic approach to probability theory.     

Transformed generalized linear models

The estimation of data transformation is very useful to yield response variables satisfying closely a normal linear model. Generalized linear models enable the fitting of models to a wide range of data types. These models are based on exponential dispersion models. We propose a new class of transformed generalized linear models to extend the Box and Cox models and the generalized linear models. We use the generalized linear model framework to fit these models and discuss maximum likelihood estimation and inference. We give a simple formula to estimate the parameter that index the transformation of the response variable for a subclass of models. We also give a simple formula to estimate the r$r$th moment of the original dependent variable. We explore the possibility of using these models to time series data to extend the generalized autoregressive moving average models discussed by Benjamin et al. [Generalized autoregressive moving average models. J. Amer. Statist. Assoc. 98, 214–223]. The usefulness of these models is illustrated in a simulation study and in applications to three real data sets.     

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.

Soil Nutrient Depletion and Population Growth in Sub-Saharan Africa: A Malthusian Nexus?

Soil nutrient mining and other forms of soil degradation threaten future soil productivity, especially in sub-Saharan Africa (SSA). Data from 36 countries in SSA show a significant relationship at the supra-national level between soil nutrient depletion (including erosion), reduced fallow periods, and population pressure and thus illustrate the unsustainable population-agriculture-environment nexus on the continent which so far has been described in case studies only. It appears that Malthusian mechanisms are at work, despite encouraging indications of farmers' concerns and adaptation to changing conditions. It is agreed that a re-examination of the common land degradation assessments and farmers' response to changing conditions would be useful, however, this should not delay other recommended interventions.