The Future of Environmental Justice Research: A Response to Gould and Weinberg

Sociological Forum -     

Determination of recovery effort for a probabilistic recovery system under various inventory control policies

In this study we investigate the desired level of recovery under various inventory control policies when the success of recovery is probabilistic. All the used and returned items go into a recovery process that is modelled as a single stage operation. The recovery effort is represented by the expected time spent for it. The effect of increasing recovery effort on the success probability together with unit cost of the operation is included by assuming general forms of dependencies. Alternative to recovered items, demand is satisfied by brand-new items. Four inventory control policies that differ in timing of and information used in purchasing decision are proposed. The objective is to find the recovery level together with inventory control parameter that minimize the long-run average total cost. A numerical study covering a wide range of system parameters is carried out. Finally computational results are presented with their managerial implications.     

Local Governments Connecting to the Global Economy: Globalization as Catalyst in Governance of East African Cities

This article responds to two questions: first, how are large local governments in East Africa responding to the emerging global economy? Second, is globalization a catalyst in enhancing local governance in Nairobi, Kampala, and Dar es Salaam? The paper is an empirical analysis of strategies adopted by local government organizations in search of meeting challenges brought by a globalization. While there are some similarities in the strategies and processes adopted, the implementation pace varies across the three organizations. At the end, an attempt is made to explain these differences.     

The FastHCS algorithm for robust PCA

Principal component analysis (PCA) is widely used to analyze high-dimensional data, but it is very sensitive to outliers. Robust PCA methods seek fits that are unaffected by the outliers and can therefore be trusted to reveal them. FastHCS (high-dimensional congruent subsets) is a robust PCA algorithm suitable for high-dimensional applications, including cases where the number of variables exceeds the number of observations. After detailing the FastHCS algorithm, we carry out an extensive simulation study and three real data applications, the results of which show that FastHCS is systematically more robust to outliers than state-of-the-art methods.     

Sport and disability: Pistorius does not fit with the categories

Oscar Pistorius presents a major issue to sports organisations, as exposed in the media. First and foremost, media wrongly perceive him as the first disabled athlete to participate in the Olympic Games. Second, they openly question the legitimacy of his participation mainly based on the inequity introduced by his prosthetic legs. Content analysis, in English and French, of written press, International Association of Athletics Federations (IAAF) and Court of Arbitration for Sport (CAS) texts, from 2004 to 2012, confirms that Pistorius presents a new puzzle to sports organizations. This is partly because they are not able to determine whether his performances are a result of his body strength or if they are biased by his artificial limbs. Furthermore, when he is competing against able-bodied athletes, sports organizsations put him in a ‘monstrous’ position. Similarly, while categorising him as an ‘athlete’ they do not grant him the characteristic feature of this category: certified comparability of performances to ultimately establish ranks.     

Student and faculty perceptions about mandatory influenza vaccinations on a health sciences campus

Objective: To examine the perceptions among faculty and health professional students regarding mandatory vaccination policies on a health sciences campus. Participants: A total of 296 faculty and 244 students completed surveys during Fall 2015. Methods: The online survey administered to individuals who received the influenza vaccine during the fall 2015 influenza vaccination clinic season included five items evaluating perceptions of employer mandatory vaccination requirements. Results: Chi-square analysis indicated that although faculty and students agree mandatory vaccinations in a health care environment are appropriate, faculty are more likely than students to get vaccinated in the absence of a mandate. Additionally, a small fraction of faculty would consider employment elsewhere when facing this mandate. Conclusions: Overall, faculty and students had favorable perceptions about mandatory influenza vaccine policies. Since students were less likely to be vaccinated in the absence of a mandate, education of students should be improved to support the importance of vaccinations in a health care environment.     

The Box–Cox Transformation and Non‐Iterative Estimation Methods for Ordinal Log‐Linear Models

Recently Beh and Farver investigated and evaluated three non‐iterative procedures for estimating the linear‐by‐linear parameter of an ordinal log‐linear model. The study demonstrated that these non‐iterative techniques provide estimates that are, for most types of contingency tables, statistically indistinguishable from estimates from Newton's unidimensional algorithm. Here we show how two of these techniques are related using the Box–Cox transformation. We also show that by using this transformation, accurate non‐iterative estimates are achievable even when a contingency table contains sampling zeros.     

“Discrimination” versus “Unfair Treatment”: Measuring Differential Treatment and its Association with Health

There is consistent evidence of the health‐harming effects of discrimination. However, it remains unclear whether discrimination contributes to persistent racial and ethnic health disparities. One hindrance to documenting the association between discrimination and health disparities is ongoing methodological issues, particularly the role of question wording in assessing self‐reports of discrimination. Using two nationally representative surveys, we investigate whether the prevalence, distribution, and mental and physical health consequences of differential treatment vary by question wording—”discrimination” versus “unfair treatment.” We find that “unfair treatment” yields greater reports of everyday forms of differential treatment relative to reports of “discrimination,” while the latter yields greater reports of major forms of differential treatment. In addition, the negative effect of “unfair treatment” on mental health is stronger than that of “discrimination,” while the latter has a stronger negative effect on physical health. However, the effect of question wording on reports of differential treatment and its association with health is largely unique to non‐Hispanic whites. We conclude that unfair treatment and discrimination reflect distinct concepts that should not be used interchangeably.