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.     

Self-exciting threshold models for time series of counts with a finite range

In this article, an integer-valued self-exciting threshold model with a finite range based on the binomial INARCH(1) model is proposed. Important stochastic properties are derived, and approaches for parameter estimation are discussed. A real-data example about the regional spread of public drunkenness in Pittsburgh demonstrates the applicability of the new model in comparison to existing models. Feasible modifications of the model are presented, which are designed to handle special features such as zero-inflation.     

Multiple imputation for missing edge data: A predictive evaluation method with application to Add Health

Recent developments have made model-based imputation of network data feasible in principle, but the extant literature provides few practical examples of its use. In this paper, we consider 14 schools from the widely used In-School Survey of Add Health (Harris et al., 2009), applying an ERGM-based estimation and simulation approach to impute the network missing data for each school. Add Health's complex study design leads to multiple types of missingness, and we introduce practical techniques for handing each. We also develop a cross-validation based method – Held-Out Predictive Evaluation (HOPE) – for assessing this approach. Our results suggest that ERGM-based imputation of edge variables is a viable approach to the analysis of complex studies such as Add Health, provided that care is used in understanding and accounting for the study design.     

Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring

A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess the prevalence and concentration of pathogenic campylobacter species in batches of fresh chicken and turkey meat at retail. The data set was collected from Finnish grocery stores in all the seasons of the year. Observations at low concentration levels are often censored due to the limit of determination of the microbiological methods. This model utilized the potential of Bayesian methods to borrow strength from related samples in order to perform under heavy censoring. In this extreme case the majority of the observed batch‐specific concentrations was below the limit of determination. The hierarchical structure was included in the model in order to take into account the within‐batch and between‐batch variability, which may have a significant impact on the sample outcome depending on the sampling plan. Temporal changes in the prevalence of campylobacter were modeled using a Markovian time series. The proposed model is adaptable for other pathogens if the same type of data set is available. The computation of the model was performed using OpenBUGS software.     

Load-Oriented Order Release (LOOR) revisited: bringing it back to the state of the art

In the workload control literature, the Load-Oriented Order Release (LOOR) approach has been neglected since its robustness was questioned at the end of the 1990s. This paper revisits LOOR and evaluates whether its performance can be improved in two ways. First, an intermediate pull release mechanism is added to avoid starvation between periodic release events. This mechanism was recently shown to be effective at improving the performance of a state-of-the-art release method known as LUMS COR. Second, an integer linear programming model is used to manage the trade-off between the timing and load balancing functions of order release. The two refinements are assessed using simulations of different shop configurations, which allow us to evaluate robustness. Results demonstrate that the refinements contribute to improving the performance of LOOR such that it can even outperform LUMS COR. Perhaps counter-intuitively, putting more emphasis on load balancing than on the urgency of individual orders is shown to lead to a lower percentage of tardy orders. Overall, the improvements mean that concerns about LOOR’s robustness are no longer valid – it now appears suitable for a wide range of shops found in practice.     

The international field placement: a reconciliation of identity

The international field placement is a site of both identity confusion and identity development for the social work student. Aiming to develop their professional identity they are faced with a challenge: the presence of two dominant identities, the tourist identity and the student identity. Whilst the embodiment of the tourist identity has often facilitated the student’s motivation to undertake the placement experience, the student identity is what both university staff and agency field educators perceive as integral to student engagement in this remote educational setting. Social work educators perceive this identity challenge as an impediment to learning. In contrast, students report feeling that their tourist traits strengthened their personal and professional capacity, natural curiosity and ability to engage with the local community. By analysing the roles of university staff as liaison support, and field educators as agency supervisors, it is possible to explore a teaching and learning relationship that is student-centred, grounded in the immersive international experience. Through privileging the student’s voice social work educators involved with organising, supporting and supervising international field placements are able to understand the placement as a continuum of learning. On this continuum identity reconciliation is viewed as a crucial element in the development of a professional identity.     

浅议世界女子高校发展之路——从WEW教师论坛谈起

在崭新的世纪,世界女子高校将有何发展?世界妇女教育组织(WEW)的成立与2011年教师论坛的召开让我们认识到世界女子高校在发展中存在的问题,在坚定了发展女子高校信念的同时,对中国的女子高校亦有所启示。     

Optimal quantization applied to sliced inverse regression

In this paper we consider a semiparametric regression model involving a d-dimensional quantitative explanatory variable X and including a dimension reduction of X via an index β′X. In this model, the main goal is to estimate the Euclidean parameter β and to predict the real response variable Y conditionally to X. Our approach is based on sliced inverse regression (SIR) method and optimal quantization in L^p-norm. We obtain the convergence of the proposed estimators of β and of the conditional distribution. Simulation studies show the good numerical behavior of the proposed estimators for finite sample size.     

Sexual Orientation Change Efforts and the Search for Authenticity

This article is based on structured interviews of a sample of 15 former participants in sexual orientation change efforts (SOCE), who currently identify as gay or lesbian. The primary research question for this study was, “What was the experience of self-identified gay men and lesbians who went through some type of SOCE and eventually asserted themselves as gay or lesbian?” The research concludes that participants sometimes identified as heterosexual during SOCE, but never changed their underlying homosexual orientation, and that suppression, disconnection, and a sense of inauthenticity were significant phenomena of this process.     

Impact of a Homonegativity Awareness Workshop on Attitudes Toward Homosexuality

The current study evaluated the effects of a homonegativity awareness workshop on attitudes toward homosexuality and examined individual difference variables associated with attitude change. Participants included 71 female and 43 male students (approximate mean age?=?23). Compared to a control group of introductory psychology students, participants were less homonegative and erotophobic (F(1, 359)?=?62.47 and 15.92, ps?<?.001) after the workshop. Implications for contact with gay and lesbian persons through structured intervention programs on attitudes toward homosexuality are discussed in terms of both the practice and theory of reducing prejudice and discrimination.