Reading,Writing, and Revolution: Facilitating Social Activism in First Grade

This article examines how teachers can develop a sense of social activism in students through critical multiculturalism. Drawing upon data from a nine-month participant observation study of a first-grade public charter school classroom in central California, this article highlights how teachers can integrate critical multiculturalism within an elementary classroom by connecting artists' lives to social issues to raise awareness of social injustices, promote critical reflection and consciousness, and develop a sense of social activism. Particular attention is paid to how teachers can incorporate this curriculum into their own classrooms.     

Neutralizing Problematic Frames in the Culture Wars: Anti‐Evolutionists Grapple with Religion

This article contributes to the literature on culture wars work by examining how anti‐evolutionists neutralize the framing of their position as religious. Their efforts are uncovered by analyzing 570 letters to the editor published in American newspapers in the months surrounding a nationally covered 2005 federal judicial decision on the legality of the Dover PA, school board's decision to undermine evolutionary theory in the classroom. Anti‐evolutionists neutralized the framing of their position as religious through the processes of selective acknowledgement and disagreement with the problematic framing. These findings provide insights into the anti‐evolutionist movement, the nature of the culture wars, and the basic ways in which problematic frames are neutralized. First, it shows how public anti‐evolutionist discourse has not followed its leaders' efforts to minimize the religious motivations of the movement. Second, the wide variety of neutralizations partially explains the persistence of many cultural disputes. Third, this study calls attention to the under theorized role of disagreement and agreement in undoing problematic definitions of the situation.     

The beta modified Weibull distribution

A five-parameter distribution so-called the beta modified Weibull distribution is defined and studied. The new distribution contains, as special submodels, several important distributions discussed in the literature, such as the generalized modified Weibull, beta Weibull, exponentiated Weibull, beta exponential, modified Weibull and Weibull distributions, among others. The new distribution can be used effectively in the analysis of survival data since it accommodates monotone, unimodal and bathtub-shaped hazard functions. We derive the moments and examine the order statistics and their moments. We propose the method of maximum likelihood for estimating the model parameters and obtain the observed information matrix. A real data set is used to illustrate the importance and flexibility of the new distribution.     

Facebook in Brazilian Schools: Mobilizing to Fight Back

In this article, we analyse how students used social media as a form of human–technology interaction for the organization, development, and expansion of activities in 4 social movements in Brazil. We analysed 122 Facebook pages maintained by the Four Movements using the cultural-historical activity theory framework and focused on the notion of collaborative agency in the development of the movements. We performed a qualitative analysis of this data to understand both how the movements developed and the results that the students obtained. Our findings suggest that by acting collaboratively, students expanded activities to other contexts.     

Work Conditions,Social Incorporations,and Foodborne Diseases Risk: Reflections About the (Non)Compliance of Food Safety Practices

The number of foodborne diseases has increased in all continents, and efforts must be made to control this urgent and expressive public health problem. This article aims to present and discuss situations related to the compliance and noncompliance of food safety practices (FSPs) in light of Bourdieu's social theory. This qualitative study was conducted in commercial restaurants in two cities in São Paulo, Brazil. Participant observation was used in the restaurants, and notes referring to the kitchen workers and their bosses’ work processes were registered in field journals. Thematic type content analysis was used to determine the meaning cores of field journals. It was found that aspects inherent to convenience and haste at work, deficient infrastructure, lack of employees, negative boss examples, exposure to noise, and body pain experienced by workers can contribute to noncompliance of FSPs and consolidate in the habitus and practical sense some dispositions that can increase the risk of foodborne diseases. This study highlights the necessity of creating environments that address food safety, which means being able to perform a service properly.     

Bayesian estimation of a flexible bifactor generalized partial credit model to survey data

Item response theory (IRT) models provide an important contribution in the analysis of polytomous items, such as Likert scale items in survey data. We propose a bifactor generalized partial credit model (bifac-GPC model) with flexible link functions - probit, logit and complementary log-log - for use in analysis of ordered polytomous item scale data. In order to estimate the parameters of the proposed model, we use a Bayesian approach through the NUTS algorithm and show the advantages of implementing IRT models through the Stan language. We present an application to marketing scale data. Specifically, we apply the model to a dataset of non-users of a mobile banking service in order to highlight the advantages of this model. The results show important managerial implications resulting from consumer perceptions. We provide a discussion of the methodology for this type of data and extensions. Codes are available for practitioners and researchers to replicate the application.     

Modelling interval data with Normal and Skew-Normal distributions

A parametric modelling for interval data is proposed, assuming a multivariate Normal or Skew-Normal distribution for the midpoints and log-ranges of the interval variables. The intrinsic nature of the interval variables leads to special structures of the variance–covariance matrix, which is represented by five different possible configurations. Maximum likelihood estimation for both models under all considered configurations is studied. The proposed modelling is then considered in the context of analysis of variance and multivariate analysis of variance testing. To access the behaviour of the proposed methodology, a simulation study is performed. The results show that, for medium or large sample sizes, tests have good power and their true significance level approaches nominal levels when the constraints assumed for the model are respected; however, for small samples, sizes close to nominal levels cannot be guaranteed. Applications to Chinese meteorological data in three different regions and to credit card usage variables for different card designations, illustrate the proposed methodology.