Recovering Inequality
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Recovering Inequality
Author: Steve Kroll-Smith
language: en
Publisher: University of Texas Press
Release Date: 2018-08-15
A lethal mix of natural disaster, dangerously flawed construction, and reckless human actions devastated San Francisco in 1906 and New Orleans in 2005. Eighty percent of the built environments of both cities were destroyed in the catastrophes, and the poor, the elderly, and the medically infirm were disproportionately among the thousands who perished. These striking similarities in the impacts of cataclysms separated by a century impelled Steve Kroll-Smith to look for commonalities in how the cities recovered from disaster. In Recovering Inequality, he builds a convincing case that disaster recovery and the reestablishment of social and economic inequality are inseparable. Kroll-Smith demonstrates that disaster and recovery in New Orleans and San Francisco followed a similar pattern. In the immediate aftermath of the flooding and the firestorm, social boundaries were disordered and the communities came together in expressions of unity and support. But these were quickly replaced by other narratives and actions, including the depiction of the poor as looters, uneven access to disaster assistance, and successful efforts by the powerful to take valuable urban real estate from vulnerable people. Kroll-Smith concludes that inexorable market forces ensured that recovery efforts in both cities would reestablish the patterns of inequality that existed before the catastrophes. The major difference he finds between the cities is that, from a market standpoint, New Orleans was expendable, while San Francisco rose from the ashes because it was a hub of commerce.
Recovery, Mental Health and Inequality
Mental health has long been perceived as a taboo subject in the UK, so much so that mental health services have been marginalised within health and social care. There is even more serious neglect of the specific issues faced by different ethnic minorities. This book uses the rich narratives of the recovery journeys of Chinese mental health service users in the UK – a perceived ‘hard-to-reach group’ and largely invisible in mental health literature – to illustrate the myriad ways that social inequalities such as class, ethnicity and gender contribute to service users' distress and mental ill-health, as well as shape their subsequent recovery journeys. Recovery, Mental Health and Inequality contributes to the debate about the implementation of ‘recovery approach’ in mental health services and demonstrates the importance of tackling structural inequalities in facilitating meaningful recovery. This timely book would benefit practitioners and students in various fields, such as nurses, social workers and mental health postgraduate trainees.
Oracle Inequalities in Empirical Risk Minimization and Sparse Recovery Problems
Author: Vladimir Koltchinskii
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-07-29
The purpose of these lecture notes is to provide an introduction to the general theory of empirical risk minimization with an emphasis on excess risk bounds and oracle inequalities in penalized problems. In recent years, there have been new developments in this area motivated by the study of new classes of methods in machine learning such as large margin classification methods (boosting, kernel machines). The main probabilistic tools involved in the analysis of these problems are concentration and deviation inequalities by Talagrand along with other methods of empirical processes theory (symmetrization inequalities, contraction inequality for Rademacher sums, entropy and generic chaining bounds). Sparse recovery based on l_1-type penalization and low rank matrix recovery based on the nuclear norm penalization are other active areas of research, where the main problems can be stated in the framework of penalized empirical risk minimization, and concentration inequalities and empirical processes tools have proved to be very useful.