Social Relays of China’s Power Projection? Overseas Chinese Collective Actions for Security in France

Once known as a silent and even a model minority, hardworking and keeping a low profile, the Chinese community in Paris, one of the largest Chinese diasporic population in Europe, has organized several massive demonstrations since 2010 to demand police protection amid mounting security concerns. Based on qualitative methods combining ethnographic research, media analysis, observation of the collective actions, and interviews of key actors involved, this article analyses the evolution of these mobilizations and their aftermath, on a span of eight years from June 2010 to July 2018, aiming to comprehend the role of China’s influence diplomacy in regard to the actions of overseas Chinese for security. There hasn’t been any study on the role that overseas Chinese might play in China’s foreign policy towards Europe.     

Local perceptions of socio-ecological drivers and effects of coastal armoring: the case of Moorea,French Polynesia

Population and Environment - This paper presents a transdisciplinary study focusing on the socio-ecological mechanisms at play in the alteration of Moorea’s (French Polynesia) coastline....     

Childhood Ethics: An ontological advancement for childhood studies

We describe an ontological approach to childhood studies that we refer to as Childhood Ethics. This involves an interdisciplinary hermeneutic orientation towards examining the morally meaningful dimensions of matters that affect young people. We draw on our empirical research with young people from 3- to 17-years old, examining their experiences in a diversity of contexts and geographical settings. Our investigations challenge dominant binary conceptions of young people along lines of decisional in/capacity and im/maturity. We argue for a view of children as active agents with meaningful relational engagements and participation interests and capacities and outline corresponding implications for research and practice.     

Transactional links between adolescents’ and friends’ victimization during the first two years of secondary school: The mediating role of likeability and friendship involvement

The goals of this study were to examine to what extent lower likeability at the group level and lower friendship involvement can explain the bidirectional links between adolescents’ own and their friends’ victimization over time. We tested these processes by applying a cross‐lagged path model to a sample of 621 adolescents. Data were collected at four time points over the two first years of secondary school. Participants were asked to identify same grade friends within their school; classroom peer nominations were used to assess participants’ likeability as well as participants’ and friends’ level of peer victimization. Results showed bidirectional associations between adolescents’ own and their friends’ victimization by peers within the first year of secondary school. Moreover, the relation between adolescents’ own victimization at the end of the first year and their friends’ victimization next year was mediated by decreased adolescents’ likeability at the group level. Inversely, their friends’ victimization at the end of the first year predicted lower levels of adolescents’ own likeability over time, which in turn predicted adolescents’ own subsequent levels of victimization. Friends’ victimization also predicted adolescents’ lower friendship involvement during the first year, which in turn predicted decreased likeability, and ultimately higher levels of victimization.     

Takacs–Fiksel Method for Stationary Marked Gibbs Point Processes

Abstract. This article studies a method to estimate the parameters governing the distribution of a stationary marked Gibbs point process. This procedure, known as the Takacs–Fiksel method, is based on the estimation of the left and right hand sides of the Georgii–Nguyen–Zessin formula and leads to a family of estimators due to the possible choices of test functions. We propose several examples illustrating the interest and flexibility of this procedure. We also provide sufficient conditions based on the model and the test functions to derive asymptotic properties (consistency and asymptotic normality) of the resulting estimator. The different assumptions are discussed for exponential family models and for a large class of test functions. A short simulation study is proposed to assess the correctness of the methodology and the asymptotic results.     

Inferring an Augmented Bayesian Network to Confront a Complex Quantitative Microbial Risk Assessment Model with Durability Studies: Application to Bacillus Cereus on a Courgette Purée Production Chain

The Monte Carlo (MC) simulation approach is traditionally used in food safety risk assessment to study quantitative microbial risk assessment (QMRA) models. When experimental data are available, performing Bayesian inference is a good alternative approach that allows backward calculation in a stochastic QMRA model to update the experts’ knowledge about the microbial dynamics of a given food‐borne pathogen. In this article, we propose a complex example where Bayesian inference is applied to a high‐dimensional second‐order QMRA model. The case study is a farm‐to‐fork QMRA model considering genetic diversity of Bacillus cereus in a cooked, pasteurized, and chilled courgette purée. Experimental data are Bacillus cereus concentrations measured in packages of courgette purées stored at different time‐temperature profiles after pasteurization. To perform a Bayesian inference, we first built an augmented Bayesian network by linking a second‐order QMRA model to the available contamination data. We then ran a Markov chain Monte Carlo (MCMC) algorithm to update all the unknown concentrations and unknown quantities of the augmented model. About 25% of the prior beliefs are strongly updated, leading to a reduction in uncertainty. Some updates interestingly question the QMRA model.     

Central Limit Theorems for the Non‐Parametric Estimation of Time‐Changed Lévy Models

Abstract. Let {Z_t}_{t 0} be a Lévy process with Lévy measure ν and let be a random clock, where g is a non‐negative function and is an ergodic diffusion independent of Z. Time‐changed Lévy models of the form are known to incorporate several important stylized features of asset prices, such as leptokurtic distributions and volatility clustering. In this article, we prove central limit theorems for a type of estimators of the integral parameter β(?):=∫?(x)ν(dx), valid when both the sampling frequency and the observation time‐horizon of the process get larger. Our results combine the long‐run ergodic properties of the diffusion process with the short‐term ergodic properties of the Lévy process Z via central limit theorems for martingale differences. The performance of the estimators are illustrated numerically for Normal Inverse Gaussian process Z and a Cox–Ingersoll–Ross process .     

Implementing the right project structure to achieve coopetitive innovation projects

This research focuses on the project structure used by coopetitors to achieve common innovation projects. Scholars have recently identified an original but complex project structure that they call the Coopetitive Project Team (CPT). However, other project structures can also be implemented by coopetitors to achieve innovation. Therefore, we address the following question: for which types of innovation projects is CPT appropriate? We argue that coopetitors need to use CPT for high-risk and high-cost projects when the aim is to develop radical innovation. CPT allows coopetitors not only to develop innovation capabilities through close resource and knowledge sharing but also to manage the risk of opportunism. Conversely, coopetitors should use another project structure, Separated Project Teams (SPTs), for low-cost and low-risk projects when the aim is to develop incremental innovation. The SPT design allows coopetitors both to achieve the goal of the project and to minimize the risk of opportunism. To confirm our assumptions, we studied the project portfolios of Airbus and Thales, two firms in the space satellite industry. Our findings confirm that coopetitors should implement CPTs to handle innovation projects that are costly, risky and highly innovative. CPTs permit the sharing of knowledge and the management of high opportunism risk, both of which are necessary to achieve radical innovation. Conversely, coopetitors rely on SPTs for low-cost projects that require a low degree of knowledge sharing, thus avoiding the risk of opportunism in achieving their incremental innovation objectives.