English and discourses of commodification among tourism workers in the Himalayas

In this article, I investigate commodification discourses and ideologies of English from the perspective of Nepali tourism workers. Drawing data from interviews with porters and trekking guides in Nepal, I argue that English is not seen as merely a transactional means to convey meaning; it works in combination with the traditional form of labor and care in the local economy, establishing itself as a powerful tool to establish closer interpersonal relationships, enhance such interpersonal relationships for economic gains and commodify local identities and cultures in the tourism market. The interview and ethnographic details show that language learners are agentive and capable of making sense of their actions by positioning themselves variously in terms of ethnicity, economic class and job category. These workers think that tourists' linguistic and financial resources are the empowering tools that enable them to travel to locations that they want. They also want to empower themselves with English skills and translocal imaginaries to travel and see the world beyond their immediate reach. Repertoires in English are considered as instruments to mediate their imaginaries and the foreign worlds they want to be part of.     

Possibilities towards a socially just pedagogy: New tasks and challenges

This paper contributes to an emerging debate on what it means to transform teaching and learning in higher education and to renew the social justice mission of universities. By focusing on the teaching and learning environment, we set the stage for the special issue, exploring the idea of socially just pedagogy, where it comes from and what it means in the present day. The social justice-pedagogy nexus as taken up in this paper aims at using pedagogy as a change process to transform higher education. We offer new considerations arguing that to adopt socially just pedagogies it is important that teachers consider the personal dimensions of pedagogy, the politics of difference, and the relationship between pedagogy and agency. In doing this, the chance that universities remain places of possibility, rather than turning into divisive spaces, becomes more plausible.     

Blood,Sweat, and Tears: Navigating Creepy versus Cool in Wearable Biotech

ABSTRACT

This paper considers how personal data protections figure into the design process of wearable technology. The data question is becoming especially important in the face of recent innovations in biotechnology that capitalize on the new fungibility of biology and electronics, in which new biotech wearables capitalize on the ability to analyze and track changes in blood, sweat, and tears. Interviews and participant observation with wearable tech designers, data scientists, fashion tech entrepreneurs, and select experts in cybersecurity and intellectual property law, reveal a range of approaches to data protection in design within the culture where wearables are beginning to merge with biotech. While a few respondents were extremely vigilant about protecting consumer’s privacy, the majority felt that when consumers ‘opt in’ to data sharing, they should be cognizant of the risks. From their perspective, it is not necessarily the producer’s responsibility to protect user's personal data. These attitudes present a problematic logic, which leaves users vulnerable to data exploitation. The paper concludes by arguing that this laissez-faire culture is the environment in which wearable biotech is being developed and will be deployed. This emerging technology raises issues about bodies, data, and ownership in crucial need of analysis and critique to push its move into the mainstream toward more equitable and inclusive ends.     

Deciphering blog users: young adults’ personalities,motivations, and perceived importance of blog features

The present study examines the cyberpsychology of blog readership as well as the digital content preferences of the Millennial generation by examining the links between college students’ personality traits, motivations to read blogs, and preferred blog features. Results indicate that personality influences motivations for reading blogs, which in turn helps predict perceived importance of blog characteristics. Notably, extraversion and neuroticism were related to reading blogs for social interaction; extraversion negatively predicted use of blogs to meet identity needs; openness was related to blog reading for entertainment purposes; and conscientiousness was positively associated with information seeking via blogs. Additionally, motivations for blog readership as explanatory mechanisms for the relationships found between personality traits and perceived importance of blog features are discussed.     

Are children better witnesses than adolescents? Developmental trends in different false memory paradigms

Abstract

The current study compared older children’s (11/12-year-olds) and adolescents’ (14/15-year-olds) vulnerability to false memory creation using two different methods (i.e., the Deese/Roediger-McDermott [DRM] and memory conformity paradigms) involving neutral and negative stimuli. In line with previous research, a developmental reversal effect was found for the DRM paradigm, which means that when employing this method children displayed lower false memory levels than adolescents. However, when using the memory conformity paradigm, the opposite pattern was found, with adolescents forming fewer false memories than children. This indicates that in a co-witness context, adolescents are less prone to memory errors than children. The emotional valence of the stimuli used in both paradigms did not notably affect the production of false memories. There was no statistically significant correlation between false memories as measured by the DRM and the memory conformity paradigms. Altogether, the current study indicates that there is no single type of false memory as different experimental paradigms evoke different types of erroneous recollections. Additionally, our study corroborates past findings in the literature concerning the issue of developmental reversal, strengthening the idea that under certain circumstances children might indeed be better witnesses than adolescents.     

Gender Roles and Internalized Sexual Stigma in Gay and Lesbian Persons: A Quadratic Relation

Purpose: No previous research has deeply investigated the association between gay men and lesbians’ adherence to gender roles and their internalized sexual stigma. This study suggests a potential non-linear correlation between these factors. Methods: Seventy-five gay men and 70 lesbians responded to self-report questionnaires. Hierarchical multiple regression analyses were conducted to investigate linear, quadratic, and exponential models and to determine which model best explained the correlation. Results: The quadratic model best explained the correlation, showing no gender differences. Conclusion: Adherence to gender roles constitutes a relevant factor in predicting internalized sexual stigma.     

The Bayes rule of the variance parameter of the hierarchical normal and inverse gamma model under Stein's loss

For the variance parameter of the hierarchical normal and inverse gamma model, we analytically calculate the Bayes rule (estimator) with respect to a prior distribution IG (alpha, beta) under Stein's loss function. This estimator minimizes the posterior expected Stein's loss (PESL). We also analytically calculate the Bayes rule and the PESL under the squared error loss. Finally, the numerical simulations exemplify that the PESLs depend only on alpha and the number of observations. The Bayes rules and PESLs under Stein's loss are unanimously smaller than those under the squared error loss.     

Characterization of Lindley distribution by truncated moments

In the past few years, the Lindley distribution has gained popularity for modeling lifetime data as an alternative to the exponential distribution. This paper provides two new characterizations of the Lindley distribution. The first characterization is based on a relation between left truncated moments and failure rate function. The second characterization is based on a relation between right truncated moments and reversed failure rate function.     

Confidence Corridors for Multivariate Generalized Quantile Regression

We focus on the construction of confidence corridors for multivariate nonparametric generalized quantile regression functions. This construction is based on asymptotic results for the maximal deviation between a suitable nonparametric estimator and the true function of interest, which follow after a series of approximation steps including a Bahadur representation, a new strong approximation theorem, and exponential tail inequalities for Gaussian random fields. As a byproduct we also obtain multivariate confidence corridors for the regression function in the classical mean regression. To deal with the problem of slowly decreasing error in coverage probability of the asymptotic confidence corridors, which results in meager coverage for small sample sizes, a simple bootstrap procedure is designed based on the leading term of the Bahadur representation. The finite-sample properties of both procedures are investigated by means of a simulation study and it is demonstrated that the bootstrap procedure considerably outperforms the asymptotic bands in terms of coverage accuracy. Finally, the bootstrap confidence corridors are used to study the efficacy of the National Supported Work Demonstration, which is a randomized employment enhancement program launched in the 1970s. This article has supplementary materials online.     

The Generalized Conditional Autoregressive Wishart Model for Multivariate Realized Volatility

It is well known that in finance variances and covariances of asset returns move together over time. Recently, much interest has been aroused by an approach involving the use of the realized covariance (RCOV) matrix constructed from high-frequency returns as the ex-post realization of the covariance matrix of low-frequency returns. For the analysis of dynamics of RCOV matrices, we propose the generalized conditional autoregressive Wishart (GCAW) model. Both the noncentrality matrix and scale matrix of the Wishart distribution are driven by the lagged values of RCOV matrices, and represent two different sources of dynamics, respectively. The GCAW is a generalization of the existing models, and accounts for symmetry and positive definiteness of RCOV matrices without imposing any parametric restriction. Some important properties such as conditional moments, unconditional moments, and stationarity are discussed. Empirical examples including sequences of daily RCOV matrices from the New York Stock Exchange illustrate that our model outperforms the existing models in terms of model fitting and forecasting.