Power and Attraction to the Counternormative Aspects of Infidelity

Previous research shows that powerful people are more likely than those lacking power to engage in infidelity. One possible explanation holds (a) that power psychologically releases people from the inhibiting effects of social norms and thus increases their appetite for counternormative forms of sexuality. Two alternative explanations are (b) that power increases appetite for any form of sexuality, normative or counternormative, and (c) that power makes men (but not women) seem more attractive to others and thus increases their access to potential mating opportunities. The current research tested these explanations using correlational data from 610 Dutch men and women. Supporting the first explanation, power's relationship with infidelity was statistically mediated by increased attraction to the secrecy associated with infidelity. Inconsistent with the second explanation, power was linked with infidelity but not with casual sex among singles (a more normative form of sexuality). Inconsistent with the third explanation, the link between power and infidelity was observed just as strongly in women as in men. Findings suggest that power may be associated with infidelity because power draws people to the counternormative aspects of infidelity. Implications for theories of power, sexuality, and gender are discussed.     

Coalitions and clientelism in Mexico

Theory and Society -     

The interaction between landmine clearance and land rights in Angola: A volatile outcome of non-integrated peacebuilding

The current approach to peacebuilding by the international community is to focus on the priorities thought to be important to recovery, but this occurs in a largely non-integrated way. With these different endeavors largely isolated from each other in planning, analysis, implementation, and measures for success, little is known about how they interact and whether or not the aggregate effect contributes to, or detracts from durable peace. This is especially important for priorities which in some way interact with each other on the ground among a recipient population. Two of these priorities for recovery, landmine clearance and land rights, while taking place on the same lands at the same time, and for the same people, are regarded separately as crucial to postwar recovery, and their interaction has not yet been examined. This article looks at these two priorities for Angola, and finds in their interaction a number of ways in which they detract from durable peace. This is a result of, 1) the role of areas adjacent to mine contaminated locations, 2) land grabbing, 3) the actions and role of the State, 4) the problematic interaction between different sectors involved in recovery, 5) the ongoing return of refugees and internal dislocatees and their (re)settlement, and 6) the lack of awareness of land tenure issues on the part of ‘mine action’ organizations. Subsequent to an examination of these forms of interaction this article looks at possible ways forward, focusing on, 1) the derivation of a form of ‘forced transparency’ as a deterrent to land grabbing, 2) enhancing the utility of ‘land release’ within the mine action community, 3) linkage of the different sectors concerned with mine action and land rights, and 4) the role that donors of mine action can play.     

Nonparametric estimation of welfare changes

In this article, I propose a simple nonparametric method of estimating welfare measures with no structural assumptions on the demand system. The method is illustrated for both the single good and the multiple good case, using simulated data. Standard errors of the welfare changes are derived using standard bootstrap techniques. The compensating variation and deadweight loss resulting from a housing price increase is evaluated using Canadian mortgage data. The GAUSS coding, which is very short, is included.     

Modelling daily multivariate pollutant data at multiple sites

Summary. This paper considers the spatiotemporal modelling of four pollutants measured daily at eight monitoring sites in London over a 4-year period. Such multiple-pollutant data sets measured over time at multiple sites within a region of interest are typical. Here, the modelling was carried out to provide the exposure for a study investigating the health effects of air pollution. Alternative objectives include the design problem of the positioning of a new monitoring site, or for regulatory purposes to determine whether environmental standards are being met. In general, analyses are hampered by missing data due, for example, to a particular pollutant not being measured at a site, a monitor being inactive by design (e.g. a 6-day monitoring schedule) or because of an unreliable or faulty monitor. Data of this type are modelled here within a dynamic linear modelling framework, in which the dependences across time, space and pollutants are exploited. Throughout the approach is Bayesian, with implementation via Markov chain Monte Carlo sampling.     

Reactions of students to different settings of field experience

The study assessed Israeli students’ emotional–experiential reaction and attitude to different client populations, following a week-long experience in one of five social services settings. The study provides preliminary findings regarding the implications of first year students’ experience on their emphatic skills, a subject that generally has not received adequate scholarly attention. Using a purpose-built, self-administered questionnaire, we found students’ emotional–experiential response to their experience differed by the setting in which they were placed, being lowest in the Bedouin oriented services, intermediate among those placed in juvenile correction services, and highest in mental health, adult and child disability services. Responses were independent of all other explanatory variables, including sex, cognitive ability, previous training experience and perceptual shifts concerning the population served. We discuss possible reasons for these differences.

     

The ecology of race and socioeconomic distress: infant and working-age mortality in Chicago

We examine the effects of education, unemployment, and racial segregation on age-, sex-, and race-specific mortality rates in racially defined Chicago community areas from 1989 to 1991. Community socioeconomic factors account for large observed areal variations in infant and working-age mortality, but especially working-age mortality for the black population. For black men, the mortality consequences of living in economically distressed communities are quite severe. Segregation effects on mortality are more modest and largely operate through neighborhood socioeconomic conditions, although some direct effects of segregation on mortality for blacks are apparent.