Transnational connections and anti‐colonial radicalism in the Royal Indian Navy mutiny, 1946

In this article, I explore the spatial politics of the Royal Indian Navy mutiny of 1946 and call for a more maritime sense of ‘the political’. The RIN only existed from 1934 to 1950; it became the Indian Navy after independence. Its mutiny in 1946, which was caused by a number of grievances from anticolonial nationalism to more mundane challenges about the standard of food, continues to be the dominant event in this history. Leela Gandhi (2014) used the RIN mutiny to challenge the binary distinction between elite and subaltern in much Indian historiography by depicting it as an ‘anti‐colonial counterpublic’, or space in which discourses other than the dominant nationalist framings of independence were mobilized. She also regards the mutiny as a potential example of inconsequential ethics in which, instead of worrying about its causes, the mutiny can be read as an experimental space in which democratic politics occurred, rather than one in which people were striving for a ‘successful’ outcome. I argue that, while there is much to be admired in Gandhi's reading of these events, she discounts the maritime nature of the RIN mutiny. In other words, she fails to acknowledge that travelling to different international locations allowed the sailors to learn about democracy and other ideas, which in turn influenced their beliefs about what the future of India, and the RIN, should look like. As a result, I argue for the need to explore in greater depth the important connections that exist between anti‐colonialism, democratic politics and the naval/maritime experience.     

Joint Modelling of Survival and Longitudinal Data with Informative Observation Times

In this paper, we consider the joint modelling of survival and longitudinal data with informative observation time points. The survival model and the longitudinal model are linked via random effects, for which no distribution assumption is required under our estimation approach. The estimator is shown to be consistent and asymptotically normal. The proposed estimator and its estimated covariance matrix can be easily calculated. Simulation studies and an application to a primary biliary cirrhosis study are also provided.     

Sample size re‐estimation incorporating prior information on a nuisance parameter

Prior information is often incorporated informally when planning a clinical trial. Here, we present an approach on how to incorporate prior information, such as data from historical clinical trials, into the nuisance parameter–based sample size re‐estimation in a design with an internal pilot study. We focus on trials with continuous endpoints in which the outcome variance is the nuisance parameter. For planning and analyzing the trial, frequentist methods are considered. Moreover, the external information on the variance is summarized by the Bayesian meta‐analytic‐predictive approach. To incorporate external information into the sample size re‐estimation, we propose to update the meta‐analytic‐predictive prior based on the results of the internal pilot study and to re‐estimate the sample size using an estimator from the posterior. By means of a simulation study, we compare the operating characteristics such as power and sample size distribution of the proposed procedure with the traditional sample size re‐estimation approach that uses the pooled variance estimator. The simulation study shows that, if no prior‐data conflict is present, incorporating external information into the sample size re‐estimation improves the operating characteristics compared to the traditional approach. In the case of a prior‐data conflict, that is, when the variance of the ongoing clinical trial is unequal to the prior location, the performance of the traditional sample size re‐estimation procedure is in general superior, even when the prior information is robustified. When considering to include prior information in sample size re‐estimation, the potential gains should be balanced against the risks.     

Promoting sustainable development through civil society: A case study of the EU’s NSA/LA thematic programme in Kyrgyzstan

The article focuses on the contribution of the European Union (EU) in promoting sustainable development through the involvement of civil society in partner countries. More specifically, it analyses the main features and outcomes of the projects implemented by civil society organizations (CSOs) in Kyrgyzstan under the EU thematic programme Non‐State Actors and Local Authorities in Development (NSA/LA). Despite its importance—this is the only EU programme providing direct support to non‐state actors and local authorities engaged in poverty reduction—to date, there has been very little research on the functioning of this instrument on the ground. This article seeks to fill this gap in the literature by examining the EU’s contribution to sustainable development through a case study on Kyrgyzstan. The study is based on primary data: 10 semi‐structured interviews conducted with the EU‐funded organizations implementing the NSA/LA programme. The NSA/LA projects were analysed by considering two major fields of engagement of non‐state actors in the development process: as service providers and as advocates (Banks & Hulme, 2012). Overall, the organizations awarded EU support were not only focused on fulfilling short‐term needs but also sought to introduce new ways of dealing with poverty and inequality, positioning themselves between the “Big‐D” and the “little‐d” approaches to development (Bebbington, Hickey, & Mitlin, 2008). Nonetheless, the EU‐funded projects were too limited and fragmented to be able to sustain long‐term structural change. Therefore, the EU should place new emphasis on creating synergies between new and old structures at the grassroots level and establishing mechanisms and bodies that could merge and co‐ordinate their efforts. In addition, the calls for proposals could highlight the need to share the lessons learnt by “obliging” the beneficiaries to act as multipliers and to pass on their positive experience to neighbouring communities. Finally, the EU could stimulate the funded organizations to experiment with innovative mechanisms of involvement in the policy‐making process, by making this aspect a mandatory requirement of the projects implemented with its support.     

The turn to optional familialism through the market: Long‐term care,cash‐for‐care,and caregiving policies in Europe

Cash‐for‐care (CfC) schemes are monetary transfers to people in need of care who can use them to organize their own care arrangements. Mostly introduced in the 1990s, these schemes combine different policy objectives, as they can aim at (implicitly or explicitly) supporting informal caregivers as well as increasing user choice in long‐term care or even foster the formalization of care relations and the creation of care markets. This article explores from a comparative perspective, how CfC schemes, within broader long‐term care policies, envision, frame, and aim to condition informal care, if different models of relationships between CfC and informal care exist and how these have persisted or changed over time and into which directions. Building on the scholarly debate on familialization vs. defamilialization policies, the paper proposes an analytical framework to investigate the trajectories of seven European countries over a period of 20 years. The results show that, far from being simply instruments of supported familialism, CfC schemes have contributed to a turn towards “optional familialism through the market,” according to which families are encouraged to provide family care and are (directly or indirectly) given alternatives through the provision of market care.     

The COVID‐19 Pandemic and Families in Japan

This paper, which is authored by members of the Japanese Association of Family Therapy (JAFT), describes the COVID‐19 pandemic in Japan from a family systems perspective. The authors are active members of JAFT and include current and past presidents and officers. We describe the course of the pandemic and the ways in which government policies to mitigate the pandemic have affected Japanese families. Challenges that affect Japanese families include the inability to participate in family and social rituals, prescribed gender roles that specifically affect women, high suicide rates, and prejudice against those who are at risk of spreading the infection. The need to shelter in place has also forced family homes to function as a workplace for parents, classrooms for children, and day care services for frail elders, which has resulted in psychological distress among individuals and conflicts among families. We discuss ways that therapists have worked with Japanese families using online therapy.     

Children's experiences with an intervention aimed to prevent further physical abuse

Although many children across cultures are victims of physical abuse, few treatment models target these children and their parents. In Sweden, Combined Parent–Child Cognitive Behavioural Therapy for families at risk for child physical abuse has been successfully used according to pretreatment and posttreatment studies. However, few studies have explored how physically abused children experience treatment. This study includes 20 physically abused children aged 9–17 who completed Combined Parent–Child Cognitive Behavioural Therapy. Children had a positive overall impression of the treatment and highlighted addressing the abuse, as well as processing their experiences as particularly essential. Children described a positive transformation in their family life as a result of treatment, including violence cessation and bonding among family members. Children experienced the intervention as inclusive and child‐friendly. The implications of the promising findings are discussed.     

Conditional Akaike Information Criteria for a Class of Poisson Mixture Models with Random Effects

Focusing on the model selection problems in the family of Poisson mixture models (including the Poisson mixture regression model with random effects and zero‐inflated Poisson regression model with random effects), the current paper derives two conditional Akaike information criteria. The criteria are the unbiased estimators of the conditional Akaike information based on the conditional log‐likelihood and the conditional Akaike information based on the joint log‐likelihood, respectively. The derivation is free from the specific parametric assumptions about the conditional mean of the true data‐generating model and applies to different types of estimation methods. Additionally, the derivation is not based on the asymptotic argument. Simulations show that the proposed criteria have promising estimation accuracy. In addition, it is found that the criterion based on the conditional log‐likelihood demonstrates good model selection performance under different scenarios. Two sets of real data are used to illustrate the proposed method.