Multitudinous identities: a qualitative and network analysis of the 15M collective identity

The emergence of network-movements since 2011 has opened the debate around the way in which social media and networked practices make possible innovative forms of collective identity. We briefly review the literature on social movements and ‘collective identity’, and show the tension between different positions stressing either organization or culture, the personal or the collective, aggregative or networking logics. We argue that the 15M (indignados) network-movement in Spain demands conceptual and methodological innovations. Its rapid emergence, endurance, diversity, multifaceted development and adaptive capacity, posit numerous theoretical and methodological challenges. We show how the use of structural and dynamic analysis of interaction networks (in combination with qualitative data) is a valuable tool to track the shape and change of what we term the ‘systemic dimension’ of collective identities in network-movements. In particular, we introduce a novel method for synchrony detection in Facebook activity to identify the distributed, yet integrated, coordinated activity behind collective identities. Applying this analytical strategy to the 15M movement, we show how it displays a specific form of systemic collective identity we call ‘multitudinous identity’, characterized by social transversality and internal heterogeneity, as well as a transient and distributed leadership driven by action initiatives. Our approach attends to the role of distributed interaction and transient leadership at a mesoscale level of organizational dynamics, which may contribute to contemporary discussions of collective identity in network-movements.     

Divergent pathways: the road to higher education for second-generation Turks in Austria

The article aims to explore immigrant educational pathways in relation to access to higher education (HE) in the Austrian context. Specifically focusing on Turkish youth, the author presents case studies of students who successfully entered HE in spite of their disadvantaged social, ethnic and geographic background. By further enhancing Ball’s distinction (Ball, Reay, and David 2002) between embedded and contingent choosers, the article provides an in-depth understanding of the cultural and structural context in which these students’ educational choices are played out. Finally, reaching out for Turner’s (1960 Turner, R. H. 1960. “Sponsored and Contest Mobility and the School System.” American Sociological Review 25 (6): 855–867.10.2307/2089982[Crossref], [Web of Science ®] , [Google Scholar]) notion of sponsored mobility, the article reflects on how the process of early selection reduces the opportunities for immigrant youth to access seemingly open and free HE.     

Decision Making and the Price Setting Newsvendor: Experimental Evidence

We present an experimental study of the price‐setting newsvendor problem, which extends the traditional framework by allowing the decision maker to determine both the selling price and the order quantity of a given item. We compare behavior under this model with two benchmark conditions where subjects have a single decision to make (price or quantity). We observe that subjects deviate from the theoretical benchmarks when they are tasked with a single decision. They also exhibit anchoring behavior, where their anchor is the expected demand when quantity is the decision variable and is the initial inventory level when price is the decision variable. When decision makers set quantity and price concurrently, we observe no significant difference between the normative (i.e., expected profit‐maximizing) prices and the decision makers’ price choices. Quantity decisions move further from the normative benchmarks (compared to when subjects have a single decision to make) when the ratio of cost to price is less than half. When this ratio is reversed, there is no significant difference between order levels in single‐ and multi‐task settings. In the multidecision framework, we also observe a tendency to match orders and expected demand levels, which subjects can control using prices.     

Functional calibration estimation by the maximum entropy on the mean principle

We extend the problem of obtaining an estimator for the finite population mean parameter incorporating complete auxiliary information through calibration estimation in survey sampling under a functional data framework. The functional calibration sampling weights of the estimator are obtained by matching the calibration estimation problem with the maximum entropy on the mean – MEM – principle. In particular, the calibration estimation is viewed as an infinite-dimensional linear inverse problem following the structure of the MEM approach. We give a precise theoretical setting and estimate the functional calibration weights assuming, as prior measures, the centred Gaussian and compound Poisson random measures. Additionally, through a simple simulation study, we show that the proposed functional calibration estimator improves its accuracy compared with the Horvitz–Thompson one.     

Families' values and attitudes regarding responsibility for the frail elderly: implications for aging policy

This study examines the norms and values associated with care to disabled and frail aging parents, in particular those with regard to the sharing of responsibilities for care between families and formal services, and this within three age cohorts in Quebec, Canada. It is based on a telephone interview of 1,315 people. Factor analysis yielded four factors: (1) family responsibility; (2) uncompromising family obligations; (3) acceptance of services; (4) distrust of services. Analyses of the data indicate that all three age cohorts consider that families have responsibilities for their aging family members, at the same time that they score very high on the acceptance of service scale. This article discusses these seemingly paradoxical results and their implications for aging policy.     

Encombrantes victimes. Pourquoi les maladies professionnelles restent-elles socialement invisibles en France ?

Except for wage-earners suffering from asbestos-related forms of cancer, the casualties of work-related accidents and illnesses are still invisible in public health discussions in France. This is even more surprising since the victims of collective risks in many other sectors have mobilized to draw public attention to their cause and seek legal redress. To shed light on the reasons for the invisibility of occupational pathologies, the difficulties are presented that an association of the victims of a toxic substance very frequently used in occupational settings (glycol ether) encountered. The integration of this organization's actions in the broader framework of the labor movement spawned contradictions that were resolved by “marginalizing” the victims.     

Bayesian Methodology for Model Uncertainty Using Model Performance Data

A simple and useful characterization of many predictive models is in terms of model structure and model parameters. Accordingly, uncertainties in model predictions arise from uncertainties in the values assumed by the model parameters (parameter uncertainty) and the uncertainties and errors associated with the structure of the model (model uncertainty). When assessing uncertainty one is interested in identifying, at some level of confidence, the range of possible and then probable values of the unknown of interest. All sources of uncertainty and variability need to be considered. Although parameter uncertainty assessment has been extensively discussed in the literature, model uncertainty is a relatively new topic of discussion by the scientific community, despite being often the major contributor to the overall uncertainty. This article describes a Bayesian methodology for the assessment of model uncertainties, where models are treated as sources of information on the unknown of interest. The general framework is then specialized for the case where models provide point estimates about a single‐valued unknown, and where information about models are available in form of homogeneous and nonhomogeneous performance data (pairs of experimental observations and model predictions). Several example applications for physical models used in fire risk analysis are also provided.