Unsettling research versus activism: how might critical disability studies disrupt traditional research boundaries?

Abstract

This article responds to the call for producing activist-oriented scholarship by engaging with theoretical and methodological approaches that explore the inclusion of women and girls with disabilities in Vietnam. We consider possibilities for connecting different forms of knowledge and activism by reflecting on research practices designed to foster social change. Specifically, we ask: how can critical disability studies be more reflexive about knowledge which privileges particular ways of knowing from the Global North? What alternative possibilities can exist to foster more inclusive and transformative knowledge that tackles systemic forms of oppressions in colonial and postcolonial contexts? Reflecting on an ongoing collaborative project in Vietnam, we argue that critical disability studies which engages with different forms of activism through critical reflections on our privileges can tackle exclusion by opening a new platform for debating social justice transnationally.     

The effect of different data structures,sample sizes on model fit measures

In this study, our aim was to investigate the changes of different data structures and different sample sizes on the structural equation modeling and the influence of these factors on the model fit measures. Examining the created structural equation modeling under different data structures and sample sizes, the evaluation of model fit measures were performed with a simulation study. As a result of the simulation study, optimization and negative variance estimation problems have been encountered depending on the sample size and changing correlations. It was observed that these problems disappeared either by increasing the sample size or the correlations between the variables in factor. For upcoming studies, the choice of RMSEA and IFI model fit measures can be suggested in all sample sizes and the correlation values for data sets are ensured the multivariate normal distribution assumption.     

Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models

Recently, the orthodox best linear unbiased predictor (BLUP) method was introduced for inference about random effects in Tweedie mixed models. With the use of h-likelihood, we illustrate that the standard likelihood procedures, developed for inference about fixed unknown parameters, can be used for inference about random effects. We show that the necessary standard error for the prediction interval of the random effect can be computed from the Hessian matrix of the h-likelihood. We also show numerically that the h-likelihood provides a prediction interval that maintains a more precise coverage probability than the BLUP method.     

A hybrid genetic algorithm for the batch sequencing problem on identical parallel machines

The batch sequencing problem (BSP) has been the focus of much research thanks to its practical applicability and NP-hard nature. This study aims to solve an extension of the problem from single machine case to parallel machine case. A dispatching rule called the EDD (Earliest Due Date)-Greedy heuristic and a pure genetic algorithm (GA) are proposed, and then combine them through an insertion method called the Gene Bank Strategy. Several test cases of up to 12 machines and 60 jobs are randomly generated and solved. Those experiments show that the introduced hybrid GA can provide far better results than its two component algorithms that can also independently solve the problem.     

Supply Chain Strategies and International Tax Arbitrage

What motivates the geographic footprint of the supply chains that multinational firms (MNFs) deploy? Traditional research in the operations and supply chain management literature tends to recommend locations primarily based on differentials in production costs and the ramifications of physical distance ignoring the role of taxation. MNFs that strategically position parts of their supply chains in low‐tax locations can allocate the profits across the divisions to improve post‐tax profits. For the profit allocation to be defensible to tax authorities, the divisional operations must possess real decision authority and bear meaningful risks. Generally speaking, the greater the transfer of risk and control, the larger the allowable allocation of profit. These transfers may also create inefficiencies due to misalignment of business goals and attitudes toward risk. We model these trade‐offs in the context of placing in a low‐tax region a subsidiary that oversees product distribution (as a limited risk distributor commissionnaire, limited risk distributor, or fully fledged distributor). Our analysis demonstrates that the MNF's preferences regarding the operating structures are not necessarily an obvious ordering based on the amount of risk and decision authority transferred to the division in the low‐tax jurisdiction. We derive and analyze threshold values of the performance parameters that describe the main trade‐offs involved in selecting an operating structure. We find some of the optimal decisions to exhibit interesting non‐monotone behavior. For instance, profits can increase when the tax rate in the low‐tax jurisdiction increases. Numerical analysis shows that the Limited‐Risk Distributor structure is rarely optimal and quantifies when each alternative dominates it.     

HEALTH NEEDS OF MIGRANT VIETNAMESE WOMEN IN SOUTH‐WEST BRISBANE: AN EXPLORATORY STUDY

This study was conducted in the southwest area of Brisbane, Australia, and is designed to explore and assess the health needs of Vietnamese migrant women. The needs of this group are becoming increasingly urgent due to ageing of the original immigrant refugee community and decreased capacity for support from their children and families. The study used a qualitative research strategy involving focus groups and in‐depth interviews with Vietnamese women between 18–65 years and interviews with Vietnamese health care providers. It shows that the women have had to deal with culture shock, low self‐esteem, lack of friends and relatives, unrecognized professional skills and most importantly in health terms, low socioeconomic status. Significant barriers to access health services and to improved health and well‐being were also identified, such as language difficulties, transportation, time, and knowledge about health education. Recognition of specific requirements of sub‐populations as well as broader socio‐economic and cultural determinants of health should be a guide to more effective planning and implementation of health promotion strategies. The changing needs, over time, of these sub‐populations should also be recognized.     

Frailty modelling approaches for semi-competing risks data

Lifetime Data Analysis - In the semi-competing risks situation where only a terminal event censors a non-terminal event, observed event times can be correlated. Recently, frailty models with an...     

Regenerative Markov Chain Monte Carlo for Any Distribution

While Markov chain Monte Carlo (MCMC) methods are frequently used for difficult calculations in a wide range of scientific disciplines, they suffer from a serious limitation: their samples are not independent and identically distributed. Consequently, estimates of expectations are biased if the initial value of the chain is not drawn from the target distribution. Regenerative simulation provides an elegant solution to this problem. In this article, we propose a simple regenerative MCMC algorithm to generate variates for any distribution.