Care in a Time of Austerity: the Electronic Monitoring of Homecare Workers’ Time

Austerity places intense pressures on labour costs in paid care. In the UK, electronic monitoring technology has been introduced to record (and materially reduce) the working time and wages of homecare workers. Based on empirical findings, we show that, in a ‘time of austerity’, care is reductively constructed as a consumption of time. Service users are constructed as needy, greedy, time‐consumers and homecare workers as resource‐wasting time‐takers. We point to austerity as a temporal ideology aimed at persuading populations that individual deprivation in the present moment, self‐sacrifice and the suppression of personal need in the here and now is a necessary requirement to underpin a more secure national future. Accordingly, women in low‐waged care work are required to eschew a rights‐bearing, present‐tense identity and are assumed willing to suppress their entitlements to lawful wages as a sacrifice to the future. By transforming our understandings of ‘care’ into those of ‘time consumption’, and by emphasizing the virtue of present‐tense deprivation, a politics of austerity appears to justify time‐monitoring in care provision and the rationing of homecare workers’ pay.     

The City of Saskatoon’s Local Area Planning Program: A Case Study

The City of Saskatoon’s Local Area Planning (LAP) Program is a community-based approach to developing comprehensive neighbourhood plans. In order to achieve sustainable and implementable Local Area Plans (LAPs), the City of Saskatoon has been using innovative methods of collaborative decision-making to engage citizens. The program has been recognized nationally by the Federation of Canadian Municipalities for demonstrating innovative approaches to citizen engagement in Sustainable Community Planning. A total of eight LAPs have been adopted by City Council and 212 recommendations have been approved, with 101 of these recommendations being completed, 71 currently in progress and 40 to be determined. Great strides have been made to implement the LAPs by allocating resources for coordinating implementation, working with communities, and for implementing the various recommendations. In addition, over 1,000 people representing various interests have participated in one or more LAP Committee or implementation meetings. Through this participation, partnerships have been formed, program and service delivery has been improved, and most importantly, communities have taken ownership of their plans. After completing eight LAPs, the LAP communities, City Council and city planners have felt the need to measure ongoing changes and progress in the LAP communities. In recognition of this, the City of Saskatoon’s City Planning Branch will be working with LAP communities, the Community-University Institute for Social Research (CUISR) and other stakeholders to develop a framework for statistically measuring changes in LAP communities and to monitor “Neighbourhood Success Factors”. The Neighbourhood Success Factors will work to detect serious socio-economic conditions before they reach a point of crisis. This paper will first describe the LAP Program before reviewing the proposed framework for statistically measuring changes in Saskatoon’s neighbourhoods.

Group betweenness and co-betweenness: Inter-related notions of coalition centrality

Vertex betweenness centrality is a metric that seeks to quantify a sense of the importance of a vertex in a network in terms of its ‘control’ on the flow of information along geodesic paths throughout the network. Two natural ways to extend vertex betweenness centrality to sets of vertices are (i) in terms of geodesic paths that pass through at least one of the vertices in the set, and (ii) in terms of geodesic paths that pass through all vertices in the set. The former was introduced by Everett and Borgatti [Everett, M., Borgatti, S., 1999. The centrality of groups and classes. Journal of Mathematical Sociology 23 (3), 181–201], and called group betweenness centrality. The latter, which we call co-betweenness centrality here, has not been considered formally in the literature until now, to the best of our knowledge. In this paper, we show that these two notions of centrality are in fact intimately related and, furthermore, that this relationship may be exploited to obtain deeper insight into both. In particular, we provide an expansion for group betweenness in terms of increasingly higher orders of co-betweenness, in a manner analogous to the Taylor series expansion of a mathematical function in calculus. We then demonstrate the utility of this expansion by using it to construct analytic lower and upper bounds for group betweenness that involve only simple combinations of (i) the betweenness of individual vertices in the group, and (ii) the co-betweenness of pairs of these vertices. Accordingly, we argue that the latter quantity, i.e., pairwise co-betweenness, is itself a fundamental quantity of some independent interest, and we present a computationally efficient algorithm for its calculation, which extends the algorithm of Brandes [Brandes, U., 2001. A faster algorithm for betweenness centrality. Journal of Mathematical Sociology 25, 163] in a natural manner. Applications are provided throughout, using a handful of different communication networks, which serve to illustrate the way in which our mathematical contributions allow for insight to be gained into the interaction of network structure, coalitions, and information flow in social networks.     

Keeping Surveys Valid,Reliable, and Useful: A Tutorial

This tutorial focuses on how to produce reliable and generalizable data from random‐digit‐dialing (RDD) landline and cell phone surveys. The article notes that RDD response rates have declined and explores the impact of this pronounced decline. The tutorial addresses order, response mode, and many other biases, sample size, cooperation and response rates, weighting, and hybrid designs‐all using examples from risk analysis to illustrate the key points. The article ends with a brief review of the advantages and disadvantages of major Internet and paper surveys tools, and how these can be molded and sometimes combined in repeated, longitudinal, and other designs to answer questions about risk preferences and perceptions.     

In and Out of the Ethnic Economy: A Longitudinal Analysis of Ethnic Networks and Pathways to Economic Success across Immigrant Categories1

The economic benefits to immigrants of taking jobs in ethnic workplaces, relative to the open economy, are heavily debated. We examine longitudinally differences across immigrant categories in how the choice of ethnic or non‐ethnic workplace influences the ethnic composition of social networks and how these factors impact immigrants’ economic success. Using the Longitudinal Survey of Immigrants to Canada, with data 6 months, 2 years, and 4 years after arrival, we find support for both sides of the ethnic economy debate when it is qualified by immigrant category. While economic immigrants benefit from non‐ethnic workplaces, family immigrants face economic penalties in the open economy and do better in ethnic workplaces. We argue that policies sorting immigrants into visa categories do much of the work of leading them into segmented paths of incorporation.     

Assessing and Improving the Performance of Nearly Efficient Unit Root Tests in Small Samples

Abstract

The development of unit root tests continues unabated, with many recent contributions using techniques such as generalized least squares (GLS) detrending and recursive detrending to improve the power of the test. In this article, the relation between the seemingly disparate tests is demonstrated by algebraically nesting all of them as ratios of quadratic forms in normal variables. By doing so, and using the exact sampling distribution of the ratio, it is straightforward to compute, examine, and compare the test' critical values and power functions. It is shown that use of GLS detrending parameters other than those recommended in the literature can lead to substantial power improvements. The open and important question regarding the nature of the first observation is addressed. Tests with high power are proposed irrespective of the distribution of the initial observation, which should be of great use in practical applications.     

The debt trap: A two-compartment train wreck… and how to avoid it

We explore sustainable paths out of a debt trap with a highly stylized two-sector differential equations model for the stocks of money in Government and Society. The model fits the data for the U.S. between 1981 and 2012 with a coefficient of correlation of 0.996. The solutions provide detailed “escape conditions” from the debt trap. A primary surplus is required. Then a government can escape its debt trap either through sustained annual monetary outflows from society to the government (taxation) but with a low initial growth rate, or through annual monetary inflows into both sectors (stimulus) with higher initial growth rate. We illustrate the use of our model with simulations which show how five indebted countries can escape their debt trap in 30 (or 70) years.     

Development of a Quantitative Microbial Risk Assessment for Human Salmonellosis Through Household Consumption of Fresh Minced Pork Meat in Belgium

A quantitative microbial risk assessment (QMRA) according to the Codex Alimentarius Principles is conducted to evaluate the risk of human salmonellosis through household consumption of fresh minced pork meat in Belgium. The quantitative exposure assessment is carried out by building a modular risk model, called the METZOON-model, which covers the pork production from farm to fork. In the METZOON-model, the food production pathway is split up in six consecutive modules: (1) primary production, (2) transport and lairage, (3) slaughterhouse, (4) postprocessing, (5) distribution and storage, and (6) preparation and consumption. All the modules are developed to resemble as closely as possible the Belgian situation, making use of the available national data. Several statistical refinements and improved modeling techniques are proposed. The model produces highly realistic results. The baseline predicted number of annual salmonellosis cases is 20,513 ( SD 9061.45). The risk is estimated higher for the susceptible population (estimate  4.713 × 10⁻⁵; SD 1.466 × 10⁻⁵  ) compared to the normal population  (estimate 7.704 × 10⁻⁶; SD 5.414 × 10⁻⁶)  and is mainly due to undercooking and to a smaller extent to cross-contamination in the kitchen via cook's hands.