The dilemma of recognition: Administrative categories and cultural diversity

Governments around the world combat inequality by means of group-specific redistribution. Some pursue redistribution that benefits groups, but also wish to avoid accentuating or even recognizing group distinctions. This poses a dilemma that they try to resolve by adjusting the category system used to target redistribution. There are three types of adjustment: accommodation (the multicultural approach), denial (the ideal-typical liberal solution), and replacement (a compromise). In replacement the targets of redistributive policies are constructed to avoid accentuation or recognition of inconvenient group distinctions, but still allow redistribution that benefits these groups. Replacement is increasingly in demand around the world because the disadvantages of multiculturalism are becoming apparent while denial is hard to sustain in the face of group inequality. The actual effect of replacement is little researched and less understood, however. Does it resolve the dilemma of recognition? Two examples–India and Nigeria–where replacement has been tried ever since the 1950s cast doubt on its viability.     

The Effects of Spousal Health on the Decision to Smoke: Evidence on Consumption Externalities, Altruism and Learning Within the Household

Married individuals are healthier than single individuals though the reasons are not well understood. Individuals with spouses/or partners are less likely to smoke. We explore the relationship between health and marital status by analyzing three potential channels through which marriage affects smoking, i.e., consumption externalities (one spouse's smoking affects the other spouse's welfare), altruism (one spouse reduces smoking in response to the other spouse's bad health), and learning about risks of smoking from the health experience of one's spouse. We find spousal health does not affect smoking due to altruism or learning within the household but do find evidence for consumption externalities.     

Strengthening communities through women's self help groups in South India

This article reports on an evaluation of women's Self Help Groups(SHGs) in an area in south India. Groups were evaluated, notin terms of their success as microcredit schemes, from a financialperspective, but in relation to their contribution to genderdevelopment. Evidence emerged that women perceived changes intheir identity towards working collectively to influence forchange at the village and panchyat levels. They engaged in communityand social action programmes, both at the local level and byjoining with issues beyond the local. When considered withinconstructs of empowerment, capability poverty, citizenship,and participation in democratic processes, such SHG outcomes,and the community development processes that accompany theirwork, can be seen to make a modest but significant contributionto broader transformations of oppressive structures.     

The Independence of Aptitudes,Interests, and Career Beliefs

The importance of client beliefs in career counseling depends on their ability to add unique information about the client over and above that contributed by aptitudes and interests. The Career Beliefs Inventory was administered to 200 Australian students in grade 10 together with measures of Holland's RIASEC interest themes and scholastic aptitudes. The correlations between scales from the three domains showed clearly that beliefs made a contribution distinct from that provided by aptitudes and interests. Even though the results may reflect possible sampling or method variance, career beliefs in this sample added unique information to that traditionally used in career counseling.     

A fair result in foul weather

The Duckworth–Lewis method for adjusting targets in rain-interrupted one-day cricket matches is used throughout the world, but, as Frank Duckworth explains, he originally came to statistics from physics via metallurgy, and only thought of applying statistical methods to sport when their power became apparent to him during his career in the nuclear energy industry     

When Bad Things Happen in Good Places: Pastoralism in Big‐City Newspaper Coverage of Small‐Town Violence*

Abstract An examination of big‐city newspaper coverage of violent crimes in small towns during a recent five‐year period reveals a remarkable degree of uniformity in the language reporters use to characterize life in these places. The cliches signal an underlying set of stereotypes of small‐town life: They are safe, close‐knit communities where bad things are “not supposed to happen.” Yet the point of the stories is that bad things do happen. Drawing upon culturological and sociological approaches to the study of news production, this paper argues that the small towns described in the news are symbolic landscapes that reflect a pastoral orientation among journalists and in the culture at large.     

A Bayesian Hierarchical Model for the Evaluation of a Website

Consider a website and the surfers visiting its pages. A typical issue of interest, for example while monitoring an advertising campaign, concerns whether a specific page has been designed successfully, i.e. is able to attract surfers or address them to other pages within the site. We assume that the surfing behaviour is fully described by the transition probabilities from one page to another, so that a clickstream (sequence of consecutively visited pages) can be viewed as a finite-state-space Markov chain. We then implement a variety of hierarchical prior distributions on the multivariate logits of the transition probabilities and define, for each page, a content effect and a link effect. The former measures the attractiveness of the page due to its contents, while the latter signals its ability to suggest further interesting links within the site. Moreover, we define an additional effect, representing overall page success, which incorporates both effects previously described. Using WinBUGS, we provide estimates and credible intervals for each of the above effects and rank pages accordingly.     

Interrupted stories, interrupted lives

In attempting to manage their practices efficiently, doctors may not allow seriously ill patients enough time to sort out their feelings and raise important questions. What is at stake here is not information about prognosis and treatments but the very survival of the soul.     

Basic aspects of evolution strategies

Evolution strategies (ESs) are a special class of probabilistic, direct, global optimization methods. They are similar to genetic algorithms but work in continuous spaces and have the additional capability of self-adapting their major strategy parameters. This paper presents the most important features of ESs, namely their self-adaptation, as well as their robustness and potential for parallelization which they share with other evolutionary algorithms.Besides the early (1 + 1)-ES and its underlying theoretical results, the modern ( + )-ES and (, )-ES are presented with special emphasis on the self-adaptation of strategy parameters, a mechanism which enables the algorithm to evolve not only the object variables but also the characteristics of the probability distributions of normally distributed mutations. The self-adaptation property of the algorithm is also illustrated by an experimental example.The robustness of ESs is demonstrated for noisy fitness evaluations and by its application to discrete optimization problems, namely the travelling salesman problem (TSP).Finally, the paper concludes by summarizing existing work and general possibilities regarding the parallelization of evolution strategies and evolutionary algorithms in general.