“Who Are You?”: The Making of Korean “Illegal Entrants” in Occupied Japan 1945–1952

Recent progress in the study of migration history in Japan has cast new light on the influx of Koreans to Japan just after the end of the Second World War in August 1945. Both the Japanese Government and the Supreme Commander for the Allied Powers called this migration illegal entry or smuggling, and tried to suppress it., One important question remains to be solved about this migration; namely; how was it prohibited? Before the Immigration Control Act (1951) was enshrined, and at a time when Koreans in Japan still held Japanese citizenship, how were the authorities able to regard Korean migration to Japan illegal? How did this migration became a political and social problem? Focusing on the legislation process and performance of the law, this article attempts to answer these questions. Politics, legislation, and social interaction all contributed to making the ethnic and legal category of Korean in postwar Japan.     

100 key research questions for the post‐2015 development agenda

The Sustainable Development Goals (SDGs) herald a new phase for international development. This article presents the results of a consultative exercise to collaboratively identify 100 research questions of critical importance for the post‐2015 international development agenda. The final shortlist is grouped into nine thematic areas and was selected by 21 representatives of international and non‐governmental organisations and consultancies, and 14 academics with diverse disciplinary expertise from an initial pool of 704 questions submitted by 110 organisations based in 34 countries. The shortlist includes questions addressing long‐standing problems, new challenges and broader issues related to development policies, practices and institutions. Collectively, these questions are relevant for future development‐related research priorities of governmental and non‐governmental organisations worldwide and could act as focal points for transdisciplinary research collaborations.     

From Privilege to Prevalence: Contextual Effects of Women’s Schooling on African Marital Timing

In Africa and elsewhere, educated women tend to marry later than their less-educated peers. Beyond being an attribute of individual women, education is also an aggregate phenomenon: the social meaning of a woman’s educational attainment depends on the educational attainments of her age-mates. Using data from 30 countries and 246 birth cohorts across sub-Saharan Africa, we investigate the impact of educational context (the percentage of women in a country cohort who ever attended school) on the relationship between a woman’s educational attainment and her marital timing. In contexts where access to education is prevalent, the marital timing of uneducated and highly educated women is more similar than in contexts where attending school is limited to a privileged minority. This across-country convergence is driven by uneducated women marrying later in high-education contexts, especially through lower rates of very early marriages. However, within countries over time, the marital ages of women from different educational groups tend to diverge as educational access expands. This within-country divergence is most often driven by later marriage among highly educated women, although divergence in some countries is driven by earlier marriage among women who never attended school.     

Conceptualizing Childbearing Ambivalence: A Social and Dynamic Perspective

Childbearing ambivalence is often conceptualized as a state of conflicting desires about having a child that is characteristic of particular individuals or life stages. This study proposes that childbearing ambivalence is dynamic and situational, resulting from the multiple sociocultural frames surrounding childbearing. Using eight waves of prospective data from a population‐based sample of young adults in Malawi, results show that 41% of women and 48% of men are ambivalent about childbearing at some point in the 2.5‐year study. There is limited evidence that ambivalence is related to individual sociodemographic or psychosocial characteristics aside from gender; rather, ambivalence is tied to life course markers such as school enrollment and age. In addition, life course transitions and changes in relationships, health, and economic factors are associated with the onset of ambivalence, supporting the theory that ambivalence is a dynamic state that men and women frequently pass through as their lives and circumstances change.     

Framing the Women’s March on Washington: Media coverage and organizational messaging alignment

Half a million citizens participated in the Women’s March on Washington the day after President Trump’s inauguration, starting a political movement. The march communicated key messages to the public directly and via the media. This study explores how media coverage framed those key messages through content analysis. Media frames mentioned all key messages, emphasizing solidarity and activation at the grassroots, and in a way that both supported and challenged organizational messages. Theoretical and practical implications are discussed.     

Class, gender and time poverty: a time-use analysis of British workers' free time resources

Free time, that is, the time that remains at one's own discretion after conducting daily work and personal care activities, has been previously recognized as a 'primary good' and an important welfare resource that provides opportunities for participation in social life and leisure. However, recent years have witnessed an increasing preoccupation with the phenomenon of time poverty, drawing attention to the distribution of free time and its relationship to structural and family circumstances. In this article we propose a novel approach to the measurement of time poverty and document its occurrence amongst British workers. In line with previous literature, a conceptualization of time poverty as a relative lack of free time resources vis-à-vis other members of the community is adopted. However, unlike previous empirical studies, we investigate the differential configuration of time poverty on weekdays and weekend days, alongside indicators of the quality of free time, taking into account insights from theoretical and empirical work within the field of the sociology of time. Our analysis of the 2000 UK Time Use Survey highlights class and gender inequalities that have been missed by previous measurement approaches and demonstrates that, overall, working women experience multiple and more severe free time constraints, which may constitute an additional barrier for their leisure and social participation.     

Work and breastfeeding decisions are jointly determined for higher socioeconomic status US mothers

We study postpartum decisions about paid work and breastfeeding using a simultaneous equations model. For our sample of higher socioeconomic status mothers, we find a joint decision process for three sets of decisions modeled: work leave duration and duration of any, as well as of exclusive, breastfeeding, and daily work hours and daily breastfeedings at infant age 3 months. We find that returning to paid work 1 week earlier reduces any breastfeeding duration by about two-thirds of a week while extending breastfeeding by a week delays work participation by about one-third of a week. We find larger elasticities for decisions involving daily work hours and number of breastfeedings at 3 months than for work leave duration and any breastfeeding duration and the smallest elasticities for duration of exclusive breastfeeding and work leave. This marks the first study to find a joint decision-making process for postpartum work and breastfeeding decisions and suggests that, in addition to increased leave impacting breastfeeding behaviors, successful breastfeeding promotion policies can have nontrivial impacts on the US labor market.     

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

Summary.  Structured additive regression models are perhaps the most commonly used class of models in statistical applications. It includes, among others, (generalized) linear models, (generalized) additive models, smoothing spline models, state space models, semiparametric regression, spatial and spatiotemporal models, log-Gaussian Cox processes and geostatistical and geoadditive models. We consider approximate Bayesian inference in a popular subset of structured additive regression models, latent Gaussian models , where the latent field is Gaussian, controlled by a few hyperparameters and with non-Gaussian response variables. The posterior marginals are not available in closed form owing to the non-Gaussian response variables. For such models, Markov chain Monte Carlo methods can be implemented, but they are not without problems, in terms of both convergence and computational time. In some practical applications, the extent of these problems is such that Markov chain Monte Carlo sampling is simply not an appropriate tool for routine analysis. We show that, by using an integrated nested Laplace approximation and its simplified version, we can directly compute very accurate approximations to the posterior marginals. The main benefit of these approximations is computational: where Markov chain Monte Carlo algorithms need hours or days to run, our approximations provide more precise estimates in seconds or minutes. Another advantage with our approach is its generality, which makes it possible to perform Bayesian analysis in an automatic, streamlined way, and to compute model comparison criteria and various predictive measures so that models can be compared and the model under study can be challenged.