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...     

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.     

Time‐change models for asymmetric processes

Many records in environmental sciences exhibit asymmetric trajectories. The physical mechanisms behind these records may lead for example to sample paths with different characteristics at high and low levels (up–down asymmetries) or in the ascending and descending phases leading to time irreversibility (front–back asymmetries). Such features are important for many applications, and there is a need for simple and tractable models that can reproduce them. In this paper, we explore original time‐change models where the clock is a stochastic process that depends on the observed trajectory. The ergodicity of the proposed model is established under general conditions, and this result is used to develop nonparametric estimation procedures based on the joint distribution of the process and its derivative. The methodology is illustrated on meteorological and oceanographic data sets. We show that, combined with a marginal transformation, the proposed methodology is able to reproduce important characteristics of the data set such as marginal distributions, up‐crossing intensity, and up–down and front–back asymmetries.     

Bootstrapping mean‐squared errors of robust small‐area estimators: Application to the method‐of‐payments surveys data

This paper proposes a new bootstrap procedure for mean‐squared errors of robust small‐area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite‐sample performance through Monte Carlo simulations. The results show that our procedure performs well and competes with existing ones. We also provide an application to the estimation of the total volume and value of cash, debit card, and credit card transactions in Canada as well as in its provinces and subgroups of households. In particular, we found that there is a significant average annual decline rate of 3.1% in the volume of cash transactions and that this decline is relatively higher among high‐income households living in heavily populated provinces. Our bootstrap estimator also provides indicators of quality useful in selecting the best small‐area predictor among several alternatives in practice.     

Toward Probabilistic Prediction of Flash Flood Human Impacts

This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance‐specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle‐related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time‐ and space‐dependent human vulnerability and risk assessment for short‐fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact‐based predictive models for flash flood casualties using machine‐learning approaches in the future.     

United but (un)equal: human capital,probability of divorce,and the marriage contract

This paper studies how the risk of divorce affects the human capital decisions of a young couple. We consider a setting where complete specialization is optimal with no divorce risk. Couples can self-insure through savings which offers some protection to the uneducated spouse, but at the expense of a distortion. Alternatively, for large divorce probabilities, symmetry in education, where both spouses receive an equal amount of education, may be optimal. This eliminates the risk associated with the lack of education, but reduces the efficiency of education choices. We show that the symmetric allocation will become more attractive as the probability of divorce increases, if risk aversion is high and/or labor supply elasticity is low. However, it is only a “second-best” solution as insurance protection is achieved at the expense of an efficiency loss. Finally, we study how the (economic) use of marriage is affected by the possibility of divorce.     

Shared services centers and work sustainability: which contributions from ergonomics?

This study examines the way in which Shared Services Centers (SSCs) were implemented in a French multinational company. It aims to characterize the change according to the capabilities model developed by Amartya Sen: what are the effects of SSCs in terms of capabilities development and developmental quality of work, i.e. in the enabling potential of work? A 3-step methodology has been used: first, an investigation was conducted in a pay service of a local entity moving into SSC in 2013; second, two investigations were conducted in another pay service of a SSC: first, a few months after the change, and then, one year after the change (the same operators were interviewed). Results show a tendency to the decrease of the enabling potential. Additionally, it was noted that administrators are kept away from the design process and have to struggle with inappropriate rules. The efficiency and sustainability of the SSC are questioned; in this context, the human factor specialist has an important role to play.     

Planners' Perspectives on Obstacles to Sustainable Urban Development: Implications for Transformative Planning Strategies

A major problem confronting planning is the gap between transformative proposals and enduring urban development trends. The paper interprets interviews with 62 planners involved in a sustainable urban development strategy in a large region focussed on Toronto, Canada. Surveyed planners were asked about the obstacles they encounter when attempting to modify prevailing urban development. Mentioned obstacles are consistent with expectations arising from three major perspectives on inertia: institutionalism, political economy and path dependence. Interviews also highlight the role of planners' practical knowledge in identifying and interpreting obstacles, and the existence of a consensus among respondents over sustainable urban development.     

Drivers' safety needs, behavioural adaptations and acceptance of new driving support systems

The aim of this paper is to discuss the contribution of two complementary approaches for designing and evaluating new driver support systems likely to improve the operation and safety of the road traffic system. The first approach is based on detailed analyses of traffic crashes so as to estimate drivers' needs for assistance and the situational constraints that safety functions should address to be efficient. The second approach is based on in depth-analyses of behavioral adaptations induced by the usage of new driver support systems in regular driving situations and on drivers' acceptance of the assistance provided by the systems.