Within the last decade, several studies have analysed the life writing produced by veterans of the U.S. American war against and the ensuing occupation of Iraq (2003-2011). These studies are beginning to offer insightful analyses of several autobiographies written by Iraq War veterans, they focus almost exclusively on male combat veterans, perpetuating a bias that has shaped the genre of autobiographies of war in the United States and the subsequent scholarly analyses of these autobiographies for decades, if not centuries. My paper begins to address this bias by focusing on two autobiographies by female soldiers, namely Jane Blair’s Hesitation kills (2011) and Heidi Squier Kraft’s Rule number two (2007). As the nineteenth-century biographies that Jo Burr Margadant has analysed, these texts can be considered ‘collage[s] of familiar notions merged in unfamiliar ways’ (Margadant, 2000, p.2), as both of them portray the experiences of female soldiers in a combat zone and thus trouble those assumptions about combat, identity, and gender that continue to structure more traditional American life writing about war. In my analysis I show how the autobiographical subjects in these texts are constructed through what I call ‘military femininities’. Drawing in part on conceptual and theoretical work done by Judith Butler, Leigh Gilmore, and R.W. Connell I argue that these military femininities are instrumental in creating female autobiographical subjects that are authorized to talk about war in the cultural context of the contemporary United States, and thus in establishing soldierly identities for American women more generally.
The research data landscape of the arts and humanities is characterized by a high degree of heterogeneity. To improve interoperability, recent initiatives and research infrastructures are encouraging the use of standards and best practices. However, custom data models are often considered necessary to exactly reflect the requirements of a particular collection or research project. To address the needs of scholars in the arts and humanities for a composition of research data irrespective of the degree of structuredness and standardization, we propose a concept on the basis of formal languages, which facilitates declarative data modeling by respective domain experts. By identifying and defining grammatical patterns and deriving transformation functions, the structure of data is generated or extended in accordance with the particular context and needs of the domain.
Recent research has identified mother–child relationships of low quality as possible risk factors for childhood obesity. However, it remains open how mothers' own obesity influences the quality of mother–child interaction, and particularly emotional availability (EA). Also unclear is the influence of maternal emotional competencies, i.e. understanding emotions and recognizing facial emotions. This study aimed to (1) investigate differences between obese and normal-weight mothers regarding mother–child EA, maternal understanding emotions and recognition of facial emotions, and (2) explore how maternal emotional competencies and maternal weight interact with each other in predicting EA. A better understanding of these associations could inform strategies of obesity prevention especially in children at risk.
We assessed EA, understanding emotions and recognition of facial emotions in 73 obese versus 73 normal-weight mothers, and their children aged 6 to 47 months (Mchild age = 24.49, 80 females).
Obese mothers showed lower EA and understanding emotions. Mothers' normal weight and their ability to understand emotions were positively associated with EA. The ability to recognize facial emotions was positively associated with EA in obese but not in normal-weight mothers. Maternal weight status indirectly influenced EA through its effect on understanding emotions.
Maternal emotional competencies may play an important role for establishing high EA in interaction with the child. Children of obese mothers experience lower EA, which may contribute to overweight development. We suggest including elements that aim to improve maternal emotional competencies and mother–child EA in prevention or intervention programmes targeting childhood obesity.
Although a large number of studies have pointed to the potential of emotional intelligence (EI) in the context of personnel selection, research in real-life selection contexts is still scarce. The aim of the present study was to examine whether EI would predict Assessment Center (AC) ratings of job-relevant competencies in a sample of applicants for the position of a flight attendant. Applicants’ ability to regulate emotions predicted performance in group exercises. However, there were inconsistent effects of applicants’ ability to understand emotions: Whereas the ability to understand emotions had a positive effect on performance in interview and role play, the effect on performance in group exercises was negative. We suppose that the effect depends on task type and conclude that tests of emotional abilities should be used judiciously in personnel selection procedures.