Les carrières de cadres au cœur des restructurations : la recomposition des effets de genre ? L’internationalisation d’un groupe français en Angleterre et en Hongrie

The effects of corporate restructuring on managerial careers have not often been analyzed, especially not from a gendered perspective. As two cases of mergers and acquisitions studied in England and Hungary show, new windows of opportunity might open for women's careers, but a reinforced model of “masculine-neutral” activity hardens the glass ceiling for those (in particular women) who are unable to comply with its expectations.     

Sexual coercion within mixed-sex couples: the roles of sexual motives, revictimization, and reperpetration

Research suggests that a history of childhood sexual abuse, and previous experiences of sexual coercion, may predict sexual coercion victimization and perpetration. More recently, sexual motivation has been found to correlate with both consensual and non-consensual sexual activity. However, sexual motivation has not been examined in association with previous experiences of abuse and sexual coercion. The aim of this study was to investigate childhood sexual abuse, previous sexual coercion experiences, and sexual motives of both partners as possible risk factors for current sexual coercion victimization and perpetration within a sample of 209 mixed-sex couples. This study examined whether power, stress relief, partner pressure, and imposition motives contributed unique variance to the prediction of sexual coercion beyond that accounted for by past childhood sexual abuse and sexual coercion events. Using hierarchical logistic regressions, four predictive models were examined for both male and female sexual coercion perpetration and victimization. Results show that childhood sexual abuse was only a significant predictor of female sexual coercion perpetration, whereas male sexual coercion victimization and perpetration were predicted by sexual coercion victimization and perpetration in previous relationships. Power motives were also significant predictors of sexual coercion perpetration, and imposition was a significant predictor of sexual coercion victimization for both genders.     

Preference-Order Recursion for Finding Relevant Pure,Admissible and Optimal Statistical Decision Functions*

A preference-order recursion algorithm for obtaining a relevant subset of pure, admissible (non-dominated, efficient) decision functions which converges towards an optimal solution in statistical decision problems is proposed. The procedure permits a decision maker to interactively express strong binary preferences for partial decision functions at each stage of the recursion, from which an imprecise probability and/or utility function is imputed and used as one of several pruning mechanisms to obtain a reduced relevant subset of admissible decision functions or to converge on an optimal one. The computational and measurement burden is thereby mitigated significantly, for example, by not requiring explicit or full probability and utility information from the decision maker. The algorithm is applicable to both linear and nonlinear utility functions. The results of behavioral and computational experimentation show that the approach is viable, efficient, and robust.     

Longitudinal Change in Adolescent Depression and Anxiety Symptoms from before to during the COVID-19 Pandemic

This study aimed to examine changes in depression and anxiety symptoms from before to during the first 6 months of the COVID-19 pandemic in a sample of 1,339 adolescents (9–18 years old, 59% female) from three countries. We also examined if age, race/ethnicity, disease burden, or strictness of government restrictions moderated change in symptoms. Data from 12 longitudinal studies (10 U.S., 1 Netherlands, 1 Peru) were combined. Linear mixed effect models showed that depression, but not anxiety, symptoms increased significantly (median increase = 28%). The most negative mental health impacts were reported by multiracial adolescents and those under ‘lockdown’ restrictions. Policy makers need to consider these impacts by investing in ways to support adolescents’ mental health during the pandemic.     

Distribution of Aggregate Utility Using Stochastic Elements of Additive Multiattribute Utility Models

Conventionally, elements of a multiattribute utility model characterizing a decision maker's preferences, such as attribute weights and attribute utilities, are treated as deterministic, which may be unrealistic because assessment of such elements can be imprecise and erroneous, or differ among a group of individuals. Moreover, attempting to make precise assessments can be time consuming and cognitively demanding. We propose to treat such elements as stochastic variables to account for inconsistency and imprecision in such assessments. Under these assumptions, we develop procedures for computing the probability distribution of aggregate utility for an additive multiattribute utility function (MAUF), based on the Edgeworth expansion. When the distributions of aggregate utility for all alternatives in a decision problem are known, stochastic dominance can then be invoked to filter inferior alternatives. We show that, under certain mild conditions, the aggregate utility distribution approaches normality as the number of attributes increases. Thus, only a few terms from the Edgeworth expansion with a standard normal density as the base function will be sufficient for approximating an aggregate utility distribution in practice. Moreover, the more symmetric the attribute utility distributions, the fewer the attributes to achieve normality. The Edgeworth expansion thus can provide a basis for a computationally viable approach for representing an aggregate utility distribution with imprecisely specified attribute weights and utilities assessments (or differing weights and utilities across individuals). Practical guidelines for using the Edgeworth approximation are given. The proposed methodology is illustrated using a vendor selection problem.     

Participatory action research opens doors: Mentoring Indigenous researchers to improve midwifery in urban Australia

Problem

There is increasing demand for capacity building among the Aboriginal and Torres Strait Islander (Indigenous) maternal and infant health workforce to improve health outcomes for mothers and babies; yet few studies describe the steps taken to mentor novice Indigenous researchers to contribute to creating a quality evidence-base in this space.

A multilevel perspective of the identity transition to motherhood

This study examines the identity transition of women when they become mothers and return to work. Twenty‐two first‐time mothers were interviewed at two points in time: just after giving birth and on re‐entry into employment after maternity leave. The findings suggest that this transition is influenced by multiple factors on different levels which include individual factors, such as partner support and career aspirations, organizational factors such as family‐friendly work practices and role models, and societal factors such as social norms and attitudes towards the maternal body. The findings highlight the importance of context by stressing the interrelated nature of factors on the micro‐, meso‐ and macro‐level in order to better understand the identity transition to motherhood.     

Floral morphology as the main driver of flower-feeding insect occurrences in the Paris region

Through the rapid expansion worldwide of impervious areas and habitat fragmentation, urbanization has strong consequences that must be understood to efficiently manage biodiversity. We studied the effects of urbanization on flower-feeding insects by using data from a citizen science program in the Parisian region. We analysed the occurrence of insects from 46 different families on flowers of different morphologies, using landscape indices in buffer areas from a 100-m to a 4000-m radius around 1194 sampled sites. Our aims were to determine (i) how the proportion of impervious area around sampled sites affected the occurrence of flower-feeding insect families and at which landscape scales impervious area calculations best predicted these occurrences; (ii) the effect of corolla shape variables on insect family occurrences. Twenty-one families were negatively impacted by increasing proportion of impervious areas (urbanophobic) and 3 were positively impacted (urbanophilic). Urbanophobic families were most affected by the proportion of impervious areas when it was estimated within buffers of 200-m to 1400-m radii, depending on the family. Notable losses of urbanophobic families were detected at less than 50% of impervious areas, which highlights the threat to the diversity of flower-feeding insects posed by urban sprawl. Corolla shape variables were the variables most often significantly implicated in the occurrence of insect families. Urbanophobic families were negatively affected by the tubular shape of flowers, and tubular corollas were found more often in urbanized areas. These results suggest that flora management might be a key component for the conservation of insect diversity in cities.