Either you need these women or you do not: Informing the debate on military service and citizenship

The debates on the integration of women into our armed forces have continued for over fifty years. These debates remain largely uninformed by historical evidence. Historicizing the debate on women and the American military since 1940 should not only inform discussions on the conditions for women's participation, but should also inform those about other marginalized groups. To bring rhetoric in line with reality, foster constructive change and design appropriate policy, these debates must move away from arguing the inclusion of specific groups on specific terms to the fundamental issues of citizenship and military obligation in a democratic society. This discussion must eventually include an analysis of the changing nature of international relations and conflict. where she teaches courses on Military History and Strategy. On active duty since 1980 and a qualified Signals Intelligence Officer and Space Operations Officer, she has served as a branch and division chief at Electronic Security Command Headquarters and Air Intelligence Agency Headquarters and in Japan as a Satellite Systems Flight Commander. Her military awards include four Air Force Meritorious Service Medals, a Joint Services Commendation Medal, two Air Force Commendation Medals, the National Defense Medal, and an expert marksman ribbon.     

Jocks, nerds, babes and thugs: A research note on regional differences in adolescent gender norms

We use data from 1,755 college students to explore regional differences in adolescent gender norms. Students attending four Northern universities and three Southern universities during the 1997–1998 academic year provided information on the ways that adolescents in their high schools had gained prestige with peers. The analyses revealed significant gender differences on fourteen of the fifteen most common avenues to prestige. Leading avenues to prestige for boys—sports, grades, and intelligence—did not vary by region. Leading avenues to prestige for girls—physical attractiveness, grades, and intelligence—also did not vary by region. However, consistent with the stronger emphasis on traditional moral views generally found in the South than the North, regional differences were found for several other avenues to prestige. Her work focuses on the effects of status transitions on intergenerational relations, social support networks, and marital quality. In collaboration with Karl Pillemer, she is currently studying caregivers' social networks during bereavement, and relations between caregivers and nursing home staff. Her research interests include gender stratification, family, and education. Currently, she is a Research Associate on a project examining health consequences of Mexican migration, funded primarily by the Hewlett Foundation (Co-PIs: Katherine M. Donato, (LSU), and Shawn Malia Kanaiaupuni, University of Wisconsin-Madison). Her dissertation is entitled “Wages and Domestic Labor: Explaining the Gender Gap in Earnings.     

土地资源遥感调查中的空间信息多重采样框架设计与GIS实现

我国是一个地域广阔、资源类型多样、土地利用类型和土地利用结构复杂的国家,此外,我国又是一个发展中的国家,正处在工业化的过程中,土地资源的利用类型变化巨大,在进行全国范围的土地资源调查时不仅要考虑较高的空间分辨率,同时也要充分认识到在我国现阶段资源调查...     

“刘易斯转折点”假象及其对“人口红利”释放的冲击

本文分析了当前普遍范围的用工荒是由于实际工资低于保留工资引起的农民工用脚投票结果。在此利用新家庭经济学单一模型理论分析这种经济行为是与简单单一个体预期效用最大化的经济行为相区别;农户以家庭为单位在金融资本及现代教育人力资本短缺的情况下通过家庭成员劳动力资本对外投资实施风险规避,在家庭内部实现收入分享,风险共担。这种经济行为带来的在工业制造和农业无法有效释放人口红利的结果,最终导致用工荒和环境负外部性以资本替代劳动的现代农业生产。     

我国高龄老人照料资源分布及照料满足感研究

高龄老人是一个对照料需求更高的群体,目前,高龄老人的照料完全满足感并不高。在居家养老建设不断加快的背景下,高龄老人的照料资源仍然集中在家庭内部,他们对社会服务的利用率极低;高龄老人的年龄、健康状况、经济状况、所在城乡以及照料者类别及其意愿对照料满足感的影响较大。政府及社会在提升高龄老人照料满足感的过程中,要科学规划居家养老服务,关注贫困、认知能力差和空巢高龄老人群体,重视家庭代际和谐建设,加快专业社工队伍发展,加强国际交流。     

Nachhaltige Alltagsmobilit?t �� soziale Ungleichheiten und Milieus

Modern societies aremobile societies in a threefold aspect: socialmobility, international migrations and physical mobility (traffic). The article concentrates on the third, within sociological discourses more or less neglected aspect of mobility as physical mobility. From the perspective of sustainability and environment protection the production of greenhouse gases by individual motor car traffic is mostly debated resulting in reflections about alternative drive systems. In these debates social aspects of sustainable mobility are more or less neglected, partly as traditional mobility (system) research does not attach great importance to reflexive leeway. Based on recent studies the authors pick out two social aspects: unequal access to mobility systems as hardly any discussed aspect of social inequalities and the socio-cultural diversification alongside social milieus and lifestyles, which both are expressions and catalysts of (non-)sustainable forms of mobility.     

What motivates adolescent bystanders to intervene when immigrant youth are bullied?

Pathways to bystander responses were examined in both generalized and bias-based bullying incidents involving immigrant-origin victims. Participants were 168 (M_age = 14.54, 57% female) adolescents of immigrant (37.5%) and nonimmigrant backgrounds, who responded to their likelihood of intervening on behalf of either an Arab or Latine victim. Models tested whether contact with immigrants and one's desires for social contact with immigrant-origin peers mediated the effects of individual (shared immigrant background, and discriminatory tendencies) and situational (inclusive peer norms) intergroup factors on active bystander responses. Findings indicated that desires for social contact reliably mediated effects across both victims; however, contact with immigrant peers was only associated with responses to Latine victims. Implications for how to promote bystander intervention are discussed.     

Sparse Markov Chains for Sequence Data

Finite memory sources and variable‐length Markov chains have recently gained popularity in data compression and mining, in particular, for applications in bioinformatics and language modelling. Here, we consider denser data compression and prediction with a family of sparse Bayesian predictive models for Markov chains in finite state spaces. Our approach lumps transition probabilities into classes composed of invariant probabilities, such that the resulting models need not have a hierarchical structure as in context tree‐based approaches. This can lead to a substantially higher rate of data compression, and such non‐hierarchical sparse models can be motivated for instance by data dependence structures existing in the bioinformatics context. We describe a Bayesian inference algorithm for learning sparse Markov models through clustering of transition probabilities. Experiments with DNA sequence and protein data show that our approach is competitive in both prediction and classification when compared with several alternative methods on the basis of variable memory length.     

Non‐parametric Estimation of Extreme Risk Measures from Conditional Heavy‐tailed Distributions

In this paper, we introduce a new risk measure, the so‐called conditional tail moment. It is defined as the moment of order a ≥ 0 of the loss distribution above the upper α‐quantile where α ∈ (0,1). Estimating the conditional tail moment permits us to estimate all risk measures based on conditional moments such as conditional tail expectation, conditional value at risk or conditional tail variance. Here, we focus on the estimation of these risk measures in case of extreme losses (where α ↓0 is no longer fixed). It is moreover assumed that the loss distribution is heavy tailed and depends on a covariate. The estimation method thus combines non‐parametric kernel methods with extreme‐value statistics. The asymptotic distribution of the estimators is established, and their finite‐sample behaviour is illustrated both on simulated data and on a real data set of daily rainfalls.     

Distribution of product and quotient of bivariate generalized exponential distribution

In this work we derive closed form expressions for the probability density functions and moments of the quotient and product of the components of the bivariate generalized exponential distribution introduced by Kundu and Gupta (J Multivariate Anal, 100:581–593, 2009) and compute the percentage points. The derivations will be useful for practitioners of this bivariate model. We then give a real data application of the product.