A postcolonial queer analysis of aboriginal queer clients' experiences of health care services in St. John's, Newfoundland

This thesis examines the gaps between health care services aimed at Aboriginal queer individuals living in St. John’s, Newfoundland and their health care needs. I used a multi-methods research design that includes interviews and demographic surveys, unobtrusive observation and qualitative content analysis. I conducted semi-structured interviews with institutional representatives from selected health related organizations – Eastern Health, Planned Parenthood Newfoundland and Labrador, the AIDS Committee of Newfoundland and Labrador, and St. John’s Native Friendship Center; as well as a transgender activist and three people who identify as Aboriginal and queer. I conducted observational research at two public seminars on Aboriginal people and health. Finally, I carried out qualitative content analysis of organizational reports and webpages of the selected community organizations. Using a postcolonial queer framework that analyzes how Newfoundland and Labrador’s colonial history is reflected in current health care realities I argue that the lack of appropriate services and culturally insensitive delivery of services reproduce the historical marginalization of an already vulnerable group.

Dynamic fault tree analysis with PEWMA modeling of event rates and Bayesian updating of material balance parameters using MCMC

This research explores Bayesian updating as a tool for estimating parameters probabilistically by dynamic analysis of data sequences. Two distinct Bayesian updating methodologies are assessed. The first approach focuses on Bayesian updating of failure rates for primary events in fault trees. A Poisson Exponentially Moving Average (PEWMA) model is implemnented to carry out Bayesian updating of failure rates for individual primary events in the fault tree. To provide a basis for testing of the PEWMA model, a fault tree is developed based on the Texas City Refinery incident which occurred in 2005. A qualitative fault tree analysis is then carried out to obtain a logical expression for the top event. A dynamic Fault Tree analysis is carried out by evaluating the top event probability at each Bayesian updating step by Monte Carlo sampling from posterior failure rate distributions. It is demonstrated that PEWMA modeling is advantageous over conventional conjugate Poisson-Gamma updating techniques when failure data is collected over long time spans. The second approach focuses on Bayesian updating of parameters in non-linear forward models. Specifically, the technique is applied to the hydrocarbon material balance equation. In order to test the accuracy of the implemented Bayesian updating models, a synthetic data set is developed using the Eclipse reservoir simulator. Both structured grid and MCMC sampling based solution techniques are implemented and are shown to model the synthetic data set with good accuracy. Furthermore, a graphical analysis shows that the implemented MCMC model displays good convergence properties. A case study demonstrates that Likelihood variance affects the rate at which the posterior assimilates information from the measured data sequence. Error in the measured data significantly affects the accuracy of the posterior parameter distributions. Increasing the likelihood variance mitigates random measurement errors, but casuses the overall variance of the posterior to increase. Bayesian updating is shown to be advantageous over deterministic regression techniques as it allows for incorporation of prior belief and full modeling uncertainty over the parameter ranges. As such, the Bayesian approach to estimation of parameters in the material balance equation shows utility for incorporation into reservoir engineering workflows.