Immigrant Children: Their Experience of Violence at School and Community in Host Country

This article describes our qualitative sociological study of immigrant children's life experiences of violence. We conducted interviews with 42 first‐generation immigrant children from any country, aged 9–13 years old, living in the Quebec City region (Canada). Results from three main themes are presented: representations of violence and concrete violent acts experienced; perceived effects of violence on children health and well‐being; and reactions and coping strategies. Overall, the narratives show that they may experience racist peer violence in school that leads to suffering situations, and they consequently have to develop strategies to maintain their well‐being. Social implications are discussed.     

Three scenarios for the future of work

After presenting a historical overview of the concept of work and the different meanings that it has acquired over the centuries, the author analyses the value it holds for Europeans, and the impact on work and employment of the popular rhetoric about a technological revolution and its “inevitable” consequences. She then considers the future of work in the light of three scenarios: a “dismantling of labour law”, a “technological revolution” (where automation brings an end to employment), and an “environmental transition”. She argues that the latter is compatible with the imperative to take action on climate change and the expectations placed in work and employment.     

Empirical Bayes estimates of finite mixture of negative binomial regression models and its application to highway safety

The empirical Bayes (EB) method is commonly used by transportation safety analysts for conducting different types of safety analyses, such as before–after studies and hotspot analyses. To date, most implementations of the EB method have been applied using a negative binomial (NB) model, as it can easily accommodate the overdispersion commonly observed in crash data. Recent studies have shown that a generalized finite mixture of NB models with K mixture components (GFMNB-K) can also be used to model crash data subjected to overdispersion and generally offers better statistical performance than the traditional NB model. So far, nobody has developed how the EB method could be used with finite mixtures of NB models. The main objective of this study is therefore to use a GFMNB-K model in the calculation of EB estimates. Specifically, GFMNB-K models with varying weight parameters are developed to analyze crash data from Indiana and Texas. The main finding shows that the rankings produced by the NB and GFMNB-2 models for hotspot identification are often quite different, and this was especially noticeable with the Texas dataset. Finally, a simulation study designed to examine which model formulation can better identify the hotspot is recommended as our future research.     

“Seeing” is retrieving: Recovering emotional content in leadership ratings through visualization

Our purpose was to develop a new method of questionnaire administration that better captures the role of affect and embodied cognitions in leadership ratings. Study 1 participants visualized their current work supervisor or a neutral stimulus and provided ratings of their work supervisor. Study 2 participants viewed a leadership event and made ratings of leadership and affect. Participants later made identical ratings after visualization. In both quasi-experiments, participants' affect was more strongly related to their leadership ratings following leader visualization. Study 2 showed that participants' leadership and affect ratings were more consistent with their initial ratings, and it showed better episodic memory recall following leader visualization.     

Multiple criteria decision analysis of treatment and land-filling technologies for waste incineration residues

In this paper, we present a real-world case realized in Switzerland on behalf of the federal agency in charge of the waste policy. The incineration of urban wastes generates hazardous residues that need specific treatment and/or land-filling technologies. The variety of local situations and appraisals led to the choice of very different solutions. Moreover, proponents were keen to propose new technologies. The purpose of this study was to provide the background for a national policy that would apply to all future projects.     

The effect of comment moderation on perceived bias in science news

Uncivil comments following online news articles about issues of science and technology have been shown to lead to biased interpretations of the news content itself. Using an experiment embedded in a nationally representative survey, we provide evidence that cues about comment moderation ? even without any change in the comments themselves ? have the potential to alleviate this so-called nasty effect. Participants exposed to uncivil comments that appear in a moderated environment were less likely to perceive bias in the news article itself. Importantly, perceptions of bias among respondents exposed to the uncivil, moderated stimulus were comparable to those of respondents who viewed both moderated and unmoderated civil comments. Our results suggest that visible cues about comment moderation are a potentially valuable endeavor for news organizations, especially in an age of declining profit margins.     

Online epistemic communities: theoretical and methodological directions for understanding knowledge co-elaboration in new digital spaces

This paper presents, illustrates and discusses a generic framework for studying knowledge co-elaboration in online epistemic communities ("OECs"). Our approach is characterised by: considering knowledge co-elaboration as a design activity; distinguishing discussion and production spaces in OECs; characterising participation via the notion of role; fine-grained analyses of meaning, content and communicative functions in interactions. On this basis, three key issues for ergonomics research on OECs are discussed and illustrated by results from our previous studies on OSS and Wikipedia. One issue concerns the interrelation between design (task) and regulation. Whereas design task-oriented activity is distributed among participants, we illustrate that OCEs function with specialised emerging roles of group regulation. However, the task-oriented activity also functions at an interpersonal level, as an interplay of knowledge-based discussion with negotiation of competencies. Another issue concerns the foci of activity on the (designed) knowledge object. Based on a generic task model, we illustrate asymmetry and distinctiveness in tasks' foci of participants. The last issue concerns how design-use mediation is ensured by specific forms of mediation roles in OECs. Finally we discuss the degree of generality of our framework and draw some perspectives for extending our framework to other OECs.