“Brown girls can’t be gay”: Racism experienced by queer South Asian women in the Toronto LGBTQ community

Abstract

The absence of scholarship on South Asian discrimination in Western queer discourse contributes to a narrative that South Asians are not subjected to racially charged forms of discrimination in the LGBTQ community, which is fundamentally untrue. This article presents narrative-based accounts of nine queer South Asian women in Toronto, Canada, to examine the ways in which they experience racial discrimination in the LGBTQ community, and the impact that this mistreatment has on identity formation and connectivity to queer spheres. It finds that queer South Asian women experience racial discrimination in the form of racially charged microaggressions, which are evidenced through expectations of assimilation to Western-normative performances of queer identity and erasure of South Asian culture in the LGBTQ community. Further, it reveals that Toronto’s LGBTQ community perpetuates a culture of White privilege that discredits the intersectional identity of queer South Asian women, and consequently invisibilizes, alienates, and revokes agency from these women who do not fit the majority’s conceptualizations about what a queer woman looks like.     

An Evaluation of the Positive Action Program for Youth Violence Prevention: From Schools to Summer Camps

New Orleans has experienced some of the highest per capita rates of homicide in the nation. In response, the City of New Orleans developed the NOLA FOR LIFE murder reduction strategy, one aspect of which is the implementation of Positive Action, a character building program for youth. The Positive Action program has offered promising results for curbing youth violence when implemented in school-based settings. However, given the city’s mostly charter-based school system, summer camps are among the few entry points available through which to implement city-wide youth initiatives. During the 2016 summer camp session, an evaluation was conducted to determine whether incorporating the Positive Action curriculum into a 6-week summer camp results in youth experiencing positive changes in peer self-esteem, the ability to get along with others, bullying behavior, and normative beliefs about aggression. This evaluation compares youth that received the Positive Action curriculum during summer camp with those that received the traditional summer camp curriculum. A multi-method approach of quantitative pre-and post-surveys of youth and focus group interviews with camp teachers were employed. Results from the quantitative data suggest few statistically significant findings, while qualitative data suggests that Positive Action may be effective at reducing violent norms and behavior. Implications for social workers and the need for adapting school-based violence reduction interventions for non-traditional settings are discussed.     

UNBIASED ESTIMATION OF PARAMETRE FUNCTIONS IN SAMPLING FROM ONE- AND TWO-TRUNCATION PARAMETER FAMILIES

We consider the problem of uniformly minimum variance unbiased (UMVU) estimation of U-estimable functions of three unknown truncation parameters based on two independent random samples: one from a two-truncation parameter family and the other from a one-truncation parameter family. In particular, we obtain the UMVU estimator of the functional Pr{Y > X} and the shortest confidence intervals for some parametric functions.     

A graphical test for local self-similarity in univariate data

The Pareto distribution, or power-law distribution, has long been used to model phenomena in many fields, including wildfire sizes, earthquake seismic moments and stock price changes. Recent observations have brought the fit of the Pareto into question, however, particularly in the upper tail where it often overestimates the frequency of the largest events. This paper proposes a graphical self-similarity test specifically designed to assess whether a Pareto distribution fits better than a tapered Pareto or another alternative. Unlike some model selection methods, this graphical test provides the advantage of highlighting where the model fits well and where it breaks down. Specifically, for data that seem to be better modeled by the tapered Pareto or other alternatives, the test assesses the degree of local self-similarity at each value where the test is computed. The basic properties of the graphical test and its implementation are discussed, and applications of the test to seismological, wildfire, and financial data are considered.     

Automated patient linking for electronic health record and child welfare databases

Abstract

There are 427,000 children in protective custody in the United States. A lack of integration between the child welfare data system and electronic health record systems complicates the communication of critical health history details to caregivers. We created and evaluated automated 10 custom algorithms linking these data. Deterministic matching was performed using combinations of first and last name, date of birth, and gender. If unmatched, a nondeterministic algorithm allowed for punctuation differences and letter transpositions. Of the children linked deterministically, 91.3% were linked. Of the ones undergoing nondeterministic matching, 71.3% were linked. Sharing integrated data is the first step in systematically improving health outcomes for children in protective custody. This approach represents an automatable and scalable solution that could help merge data from two disparate sources.     

Prediction intervals - a review

This review covers some known results on prediction intervals for univariate distributions. Results for parametric continuous and discrete distributions as well as those based on distribution-free methods are included. Prediction intervals based on Bayesian and sequential methods are not covered. Methods of construction of prediction intervals and other related problems are discussed.     

Two-stage group-screening designs with equal prior probabilities and no errors in decisions

A discrete approach to group-screening designs in the sense of discontinuous variation in the sizes of group-factors is studied. The results obtained using the finite differences method are compared with Watson!s results obtained by assuming continuous variation. Conditions for two-stage designs to be more economic than the corresponding single-stage designs are also given.