Unpacking the Power of the Mommy Wars

In recent years, Mommy Wars discourse, or an expressed judgment between mothers who work for pay and those who stay at home with their children, has emerged as a significant part of American culture. Yet knowledge about both its substantive underpinnings and the breadth of its influence across racial groups is limited. On these points, some research has suggested that racial differences regarding adherence to particular mothering ideologies will drive Mommy Wars discourse among white, middle‐class mothers but not among African American, middle‐class mothers. This study investigates 125 middle‐class yet racially diverse mothers about the content and prevalence of Mommy Wars discourse among their peers. Contrary to expectations, Mommy Wars discourse, although based on strong beliefs regarding appropriate maternal practices, was limited in its scope. In addition, Mommy Wars discourse was a minority perspective among the peers of white, middle‐class mothers, but a plurality perspective among the peers of African American, middle‐class mothers.     

Does the transtheoretical model predict attrition in domestic violence treatment programs?

Attrition in intervention programs for domestically violent men is considered to be a serious and enduring problem. Researchers have found a number of sociodemographic variables that partially explain this phenomenon; however, models based on these variables have a limited predictive power. Scott (2004) argues that a firm theoretical base is needed in future investigations of the problem and suggests the use of the transtheoretical model of behavior change (TTM), which was found to predict dropout with accuracy in other areas of behavioral change. This study investigated the relationship between four TTM constructs (Stages of Change, Decisional Balance, Self-Efficacy, and Processes of Change) and premature termination with a sample of Canadian French-speaking men (N = 302) in five domestic violence treatment programs. Contrary to the initial hypotheses, the TTM constructs did not predict dropout. Discussion investigates how social desirability bias affects results being obtained by current TTM measures and whether more motivation to change at intake necessarily relates to involvement in treatment for longer periods of time.     

Collaborative sliced inverse regression

Sliced inverse regression (SIR) is an effective method for dimensionality reduction in high-dimensional regression problems. However, the method has requirements on the distribution of the predictors that are hard to check since they depend on unobserved variables. It has been shown that, if the distribution of the predictors is elliptical, then these requirements are satisfied. In case of mixture models, the ellipticity is violated and in addition there is no assurance of a single underlying regression model among the different components. Our approach clusterizes the predictors space to force the condition to hold on each cluster and includes a merging technique to look for different underlying models in the data. A study on simulated data as well as two real applications are provided. It appears that SIR, unsurprisingly, is not capable of dealing with a mixture of Gaussians involving different underlying models whereas our approach is able to correctly investigate the mixture.     

Operationalising caseload midwifery in the Australian public maternity system: Findings from a national cross-sectional survey of maternity managers

Background

Despite high-level evidence of the benefits of caseload midwifery for women and babies, little is known about specific practice arrangements, organisational barriers and facilitators, nor about workforce requirements of caseload. This paper explores how caseload models across Australia operate.

Spatial Optimization of Future Urban Development with Regards to Climate Risk and Sustainability Objectives

Future development in cities needs to manage increasing populations, climate‐related risks, and sustainable development objectives such as reducing greenhouse gas emissions. Planners therefore face a challenge of multidimensional, spatial optimization in order to balance potential tradeoffs and maximize synergies between risks and other objectives. To address this, a spatial optimization framework has been developed. This uses a spatially implemented genetic algorithm to generate a set of Pareto‐optimal results that provide planners with the best set of trade‐off spatial plans for six risk and sustainability objectives: (i) minimize heat risks, (ii) minimize flooding risks, (iii) minimize transport travel costs to minimize associated emissions, (iv) maximize brownfield development, (v) minimize urban sprawl, and (vi) prevent development of greenspace. The framework is applied to Greater London (U.K.) and shown to generate spatial development strategies that are optimal for specific objectives and differ significantly from the existing development strategies. In addition, the analysis reveals tradeoffs between different risks as well as between risk and sustainability objectives. While increases in heat or flood risk can be avoided, there are no strategies that do not increase at least one of these. Tradeoffs between risk and other sustainability objectives can be more severe, for example, minimizing heat risk is only possible if future development is allowed to sprawl significantly. The results highlight the importance of spatial structure in modulating risks and other sustainability objectives. However, not all planning objectives are suited to quantified optimization and so the results should form part of an evidence base to improve the delivery of risk and sustainability management in future urban development.     

Should It Be Easy? Divorce Process Attitudes Among Those Who Have Split Up in Midlife

This grounded theory analysis examines the gray divorced population’s attitudes about the divorce process, that is, whether those who have experienced a divorce at age 50 or older believe divorce should be easier or harder to obtain in U.S. society. Among the 40 men and 40 women interviewed in this analysis, there were divorce delayers, who wanted to make divorce laws stricter; divorce facilitators, who championed more flexible divorce laws; divorce ambivalents, who held mixed views; and marriage gatekeepers, who advocated on behalf of status quo divorce laws but tougher relationship-strengthening requirements before marriage. The diversity of these participants’ views reflects those voices in the general population who continue to see divorce as a complex decision for most couples.     

Variance estimation for two‐phase stratified sampling

The authors consider variance estimation for the generalized regression estimator in a two‐phase context when the first‐phase sample has been restratified using information gathered from the first‐phase sample. Simple computational expressions for variance estimation are provided for the double expansion estimator and the reweighted expansion estimator of Kott & Stukel (1997). These estimators are compared using data from the Canadian Retail Commodity Survey.     

Constructing Victims: The Erasure of Women's Resistance to Sexual Assault

How do the news media portray women's resistance to sexual assault? We analyze articles from a systematic sample of 16 U.S. newspapers across 1 full calendar year to assess whether and how newspapers describe women's resistance. We find that in most cases, newspaper reports reinforce the belief that women are incapable of effectively defending themselves. Most articles fail to mention women's resistance or do so only to note its failure; the longer the article, the more likely it is to follow these patterns. Headlines exaggerate these patterns, presenting virtually no evidence that the articles that follow, or that assaults themselves, contain any female resistance or agency. In only a very small minority of cases are women described as strong, competent actors with the ability to defend themselves against violence. We conclude with a discussion of the potential individual and societal consequences of these patterns.     

“An Army of Civil Servants”: Max Weber and Émile Durkheim on Socialism

This paper is a comparison of the views of Max Weber and Émile Durkheim on socialism; these two have yet to be compared on this topic. They offered shared critiques of socialism, but differed in assessment of its overall worth, with Durkheim being more welcoming. After considering possible explanations for this divergence I argue it reflects the contrasting methodologies adopted by both. Whilst Weber places questions of the “value” of socialism solely in the conscious of the individual, and therefore beyond sociology, Durkheim sees this as a social question and therefore part of the practical concerns of sociologists.     

Rehumanising the university for an alternative future: decolonisation,alternative epistemologies and cognitive justice

ABSTRACT

Reflecting on the shifting landscape of higher education, this discussion highlights how inequality is entrenched within the university, largely as a result of Western-inspired, commodified knowledge production processes. The article grapples with scholarship on cognitive justice and builds a case for transformative resistance that is simultaneously anti-colonial and anti-neoliberal, within, against and beyond the Westernised university. The discussion concentrates specifically on epistemic hegemonies and internationalisation, and argues that substantive decolonisation as a counterhegemonic project must entail an intellectual element that is aimed at transforming the knowledge structures that facilitate dehumanisation. The pursuit of more equitable, anti-racist futures must thus involve the identification and obliteration of deeply embedded epistemic hegemonies, which have been created through the dehumanising processes of capital expansion and colonisation. This article offers a hopeful approach that encourages the collaborative creation of a counter-university that actively pursues epistemic diversity as a pathway to alternative futures.