Alain Guilloux: Taiwan,Humanitarianism and Global Governance

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

A Methodological Discourse On Gender, Independence, And Frailty: Applied Dimensions Of Identity Construction In Old Age

In this article, we discuss some of the methodological implications of gender, based on research conducted among seniors in the age group 67 to 100+, living independently (alone, or with minimal assistance) in Victoria, British Columbia, Canada's retirement capital. Our research evolved over time to concern the manner in which people being interviewed altered their presentation of self in discourses on independence and identity, depending on the interviewer's gender as well as their own. There are some significant implications that arise from our analysis for assessing the needs of individuals for home-making services and probably for service delivery, in general. This article discusses initial, qualitative interviews conducted with 39 people (19 men and 20 women) dealing specifically with the concept of independence. The chief methodological significance of these interviews derives from the strategy of doing two separate sets of interviews using the same protocols, but changing the gender of the interviewer/subject dyads from same-gender interviews to cross-gender interviews and assessing the differences between the two sets of conversations. Prior to the discussion, however, some of the most pressing issues surrounding the health care of elderly people in Canada, in general, and Victoria, in particular, will be addressed briefly as they relate to the rationale for conducting the research.     

Overcoming Ungrievability: Transgender Expectations for Identity after Death

Butler (Precarious Life: The Powers of Mourning and Violence. London, UK: Versa; 2004) observed cultural shifts immediately after 9/11 and suggested that, with regard to grievable and ungrievable lives, societal power structures “produce and maintain certain exclusionary conceptions of who is normatively human” (p. xiv–xv). The current study brings new understanding to the concept of grievability by exploring the symbolically violent de-transitioning of trans people after their deaths. The aim of this exploratory study was to examine the thoughts and attitudes of older trans people (40 y. o. plus) with regard to the phenomenon of nonconsensual de-transitioning after death and the expectations they have regarding the expression of their own identity after death. The wishes of the participants were grouped into four outcome categories: hoping to be memorialized only as their lived identity (25%); only as their identity-assigned-at-birth (6%); as both identities combined (44%); and those who claimed that they did not care how their identity was memorialized (25%). Our findings serve to emphasize the importance of open and honest end-of-life communication as well as to underscore the diverse nature of the transgender population and the complexity of the transgender identity.     

Doubly sparse regression incorporating graphical structure among predictors

Recent research has demonstrated that information learned from building a graphical model on the predictor set of a regularized linear regression model can be leveraged to improve prediction of a continuous outcome. In this article, we present a new model that encourages sparsity at both the level of the regression coefficients and the level of individual contributions in a decomposed representation. This model provides parameter estimates with a finite sample error bound and exhibits robustness to errors in the input graph structure. Through a simulation study and the analysis of two real data sets, we demonstrate that our model provides a predictive benefit when compared to previously proposed models. Furthermore, it is a highly flexible model that provides a unified framework for the fitting of many commonly used regularized regression models. The Canadian Journal of Statistics 47: 729–747; 2019 © 2019 Statistical Society of Canada     

An extended Gaussian max-stable process model for spatial extremes

The extremes of environmental processes are often of interest due to the damage that can be caused by extreme levels of the processes. These processes are often spatial in nature and modelling the extremes jointly at many locations can be important. In this paper, an extension of the Gaussian max-stable process is developed, enabling data from a number of locations to be modelled under a more flexible framework than in previous applications. The model is applied to annual maximum rainfall data from five sites in South-West England. For estimation we employ a pairwise likelihood within a Bayesian analysis, incorporating informative prior information.