Production mondialisée et progrès social: le cas du textile et de l'habillement

La fragmentation de la production au sein de réseaux mondiaux n'obéit pas seulement à l'avantage comparatif, mais aussi aux décisions de localisation des entreprises dominantes en fonction de la capacité de négociation des producteurs locaux et du rôle qu'elles leur assignent dans la chaîne de production. Les auteurs examinent les conséquences de cette spécialisation dans le textile et l'habillement, pour vingt‐six pays où l'offre de main‐d'?uvre est abondante, sur la période 1990–2007. L'étude économétrique montre que le secteur ne tire pas toujours bénéfice de l'intégration commerciale: on observe plutôt une association négative entre spécialisation verticale et salaires réels.     

Basic notions for the analysis of large two-mode networks

Many large real-world networks actually have a two-mode nature: their nodes may be separated into two classes, the links being between nodes of different classes only. Despite this, and despite the fact that many ad hoc tools have been designed for the study of special cases, very few exist to analyse (describe, extract relevant information) such networks in a systematic way. We propose here an extension of the most basic notions used nowadays to analyse large one-mode networks (the classical case) to the two-mode case. To achieve this, we introduce a set of simple statistics, which we discuss by comparing their values on a representative set of real-world networks and on their random versions. This makes it possible to evaluate their relevance in capturing properties of interest in two-mode networks.     

A mixture model for random graphs

The Erdös–Rényi model of a network is simple and possesses many explicit expressions for average and asymptotic properties, but it does not fit well to real-world networks. The vertices of those networks are often structured in unknown classes (functionally related proteins or social communities) with different connectivity properties. The stochastic block structures model was proposed for this purpose in the context of social sciences, using a Bayesian approach. We consider the same model in a frequentest statistical framework. We give the degree distribution and the clustering coefficient associated with this model, a variational method to estimate its parameters and a model selection criterion to select the number of classes. This estimation procedure allows us to deal with large networks containing thousands of vertices. The method is used to uncover the modular structure of a network of enzymatic reactions.     

Risk Policies in the United States: Definition and Characteristics Based on a Scoping Review of the Literature

The concept of “risk policy” is used with increasing frequency by decisionmakers, researchers, and the media. However, there is no precise, generally accepted definition of what is covered by policies in this area. Based on a scoping review of the literature published in key journals in the sector, we have identified the main characteristics of public risk policies drawn up and implemented in the United States. The sample comprised 21 articles published in six multidisciplinary journals between 2000 and 2010.     

The puzzle of cooperation in a game of chicken: an experimental study

The objective of this article is to investigate the impact of agent heterogeneity (as regards their attitude towards cooperation) and payoff structure on cooperative behaviour, using an experimental setting with incomplete information. A game of chicken is played considering two types of agents: ‘unconditional cooperators’, who always cooperate, and ‘strategic cooperators’, who do not cooperate unless it is in their interest to do so. Overall, our data show a much higher propensity to cooperate than predicted by theory. They also suggest that agent heterogeneity matters: the higher the proportion of ‘strategic cooperators’ in the population, the higher their probability to cooperate. Finally, our data confirm that higher rewards to cooperation (embedded in the payoff structure) tend to lower defection. Taken together, our results suggest that the subjects might be non-expected utility maximizers, dealing with both outcomes and probabilities in a non-linear manner.     

Gender homophily from spatial behavior in a primary school: A sociometric study

We investigate gender homophily in the spatial proximity of children (6–12 years old) in a French primary school, using time-resolved data on face-to-face proximity recorded by means of wearable sensors. For strong ties, i.e., for pairs of children who interact more than a defined threshold, we find statistical evidence of gender preference that increases with grade. For weak ties, conversely, gender homophily is negatively correlated with grade for girls, and positively correlated with grade for boys. This different evolution with grade of weak and strong ties exposes a contrasted picture of gender homophily.     

Social work through collaborative autoethnography

This paper discusses a research project involving five MA Social Work Students and one member of Social Work Academic Staff. Using narrative and taking a collaborative autoethnographical approach, this project highlights some of the feelings that students articulated following a 70-day placement experience. Findings include anxiety, powerlessness and frustration, together with growing confidence, recognition of their skills and a deeper understanding of the role of ‘self’ in social work. Raising issues of preparedness for practice placement, this paper has implications for both social work practice and social work education. Autoethnography (AE) is both a method of carrying out research and a methodology, specifically a qualitative methodology linked to ethnography and narrative inquiry. AE results in highly personalized narrative accounts of the researcher’s engagement with specific sociocultural contexts in the pursuit of knowing more about a phenomenon. Applying such a methodology to explore collaboratively issues of student lived experience of placement is a new and innovative use of this method.     

Expertentum und eskalierendes Commitment

The present study examines the role of expertise for the escalation of commitment. Subjects were 56 apprentices of the financial services sector and 46 subjects working as first-aid persons. Subjects were confronted with scenarios stemming from both areas of work and they had to decide about the allocation of further financial resources after a failing investment. Commitment was measured through the amount of additional investments. The independent variable ?expertise“ was manipulated by the combination of sample and job-context: Those, who had to decide about further investments in the condition with the scenario stemming from their own area of work, were considered to be experts whereas those who were confronted with the scenario of the unfamiliar work-setting were rated as novices. Results show that escalating commitment was significantly higher for novices than for experts.