穆旦与奥登：历史追问与现实反思——兼与江弱水先生商榷

江弱水在《外国文学评论》上发表的《伪奥登风与非中国性：重估穆旦》指出穆旦诗歌是对奥登诗歌的移译，而非中国性这一特征造成了穆旦诗歌的失败。而文本从选择奥登的原因、伪奥登风的消解、穆旦诗歌中的“非中国性”追问、传统与现代的反思等四个方面探讨和重新考察穆旦诗歌与奥登的关联，进而认为穆旦诗歌的特质与奥登并非密切相关。     

论胡乔木的新体咏物诗

胡乔木的新体咏物诗不仅数量多，而且质量高，是其新体诗的精华所在，有其独特的艺术个性和鲜明的艺术特征，诸如由物起兴、物显人情；托物抒怀、物人一体；借物述理、生动形象等等，极具艺术魅力，为新体诗的发展作出了重要的艺术贡献。     

Anthropology,Dance, and Education: Integrated Curriculum in Social Studies

The integration of dance into K–12 curriculum can help students to learn better, encouraging deeper exploration and active engagement with content knowledge. The purpose of this intervention study was to determine how the integration of dance and social studies with an anthropological framework affects student learning of content knowledge in social studies, as well as student attitude toward the topic. An anthropological framework was implemented to foster respectful investigation of culture. As a supplement to a sixth-grade unit on Ancient Egypt, the experimental group received four intervention lessons, incorporating creative dance. Results show that at posttest the intervention group had significantly higher content knowledge than the control group, and qualitative student responses from the intervention group suggest extremely positive feelings toward experiences in the program. This suggests that incorporating dance into sixth-grade social studies with an anthropological framework can encourage student exploration and increase understanding of content.     

Practical procedures to deal with common support problems in matching estimation

This paper assesses the performance of common estimators adjusting for differences in covariates, such as matching and regression, when faced with the so-called common support problems. It also shows how different procedures suggested in the literature affect the properties of such estimators. Based on an empirical Monte Carlo simulation design, a lack of common support is found to increase the root-mean-squared error of all investigated parametric and semiparametric estimators. Dropping observations that are off support usually improves their performance, although the magnitude of the improvement depends on the particular method used.     

西方人类学农民研究综述

农民研究包含了人类学关注的所有多样性和复杂性特征。 在资本主义全球化背景下,农民概念中的复杂性使得对其进行具体分类和厘清尤为必要。 文章通过对国外人类学农民概念及农民研究的梳理,呈现出人类学农民研究的三个重要阶段:对农民的定义经历了从模糊到清晰,从清晰到逐渐被消解,以及当下再小农化的历史进程。 总体而言,农民研究主要围绕文化和政治经济两个方向展开。20世纪以来,农民以不同的形式融入更广泛的社会组织中,农业正在以农民的方式日益重组。     

How Moroccan‐Dutch parents learn in communities of practice: Evaluating a bottom‐up parenting programme

Research shows that top‐down‐designed parenting programmes do not always meet the needs of postmigration parents. Bottom‐up programmes by migrant organizations hold a promise to fill this gap; however, research about these programmes and appropriate evaluation methodologies is scarce. Drawing upon Wenger's ( 2010 ) “communities of practice,” this paper explores an alternative perspective on parenting programme evaluation. Findings are presented from a study looking into social learning processes of postmigration parents who participated in a bottom‐up programme about raising teenagers in urban areas. Using an ethnographically inspired method combined with a preprogramme and postprogramme design, 115 Moroccan‐Dutch mothers and fathers from 15 programme groups participated. Results show that the programme provided a social learning space in which parents used themselves as resources to learn collectively about parenting. Moreover, parents consciously engaged in learning interactions across learning spaces stretched into their social networks. These analyses showed how parents' development of “learning citizenship” (Wenger, 2009 ) provides us with insight in collective learning dimensions present in a bottom‐up parenting programme, which is often not included in evaluation studies. Implications for practitioners as facilitators of parents' collective learning are presented.     

Children in immediate danger: Emergency removals in Finnish and Irish child protection

This paper presents a qualitative analysis of front‐line practices regarding emergency removals in Finnish and Irish child protection. It examines how the responses to children's immediate danger are framed by legislation and how front‐line practitioners assess the child's situation and make emergency placement decisions. The data consist of interviews with 16 Irish and 33 Finnish social workers. These child welfare protection systems respond differently to a task that appears to be similar. The Irish team‐based practice rests on the social workers' shared assessment of the child's needs, and the formal decision is made by the courts (or police officers at night‐time); and the Finnish practice involves only one single social worker who makes both the assessment and the removal decision. The Irish system is tightly time regulated, whereas the Finnish system provides a more flexible time frame. Both approaches put a lot of stress on social workers' practice, which also includes creative workarounds (e.g., “planned emergency removals” in Finland). Future research will need to explore these features from the point of view of a child's right to protection.     

A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses

A random effects model for analyzing mixed longitudinal count and ordinal data is presented where the count response is inflated in two points (k and l) and an (k,l)-Inflated Power series distribution is used as its distribution. A full likelihood-based approach is used to obtain maximum likelihood estimates of parameters of the model. For data with non-ignorable missing values models with probit model for missing mechanism are used.The dependence between longitudinal sequences of responses and inflation parameters are investigated using a random effects approach. Also, to investigate the correlation between mixed ordinal and count responses of each individuals at each time, a shared random effect is used. In order to assess the performance of the model, a simulation study is performed for a case that the count response has (k,l)-Inflated Binomial distribution. Performance comparisons of count-ordinal random effect model, Zero-Inflated ordinal random effects model and (k,l)-Inflated ordinal random effects model are also given. The model is applied to a real social data set from the first two waves of the national longitudinal study of adolescent to adult health (Add Health study). In this data set, the joint responses are the number of days in a month that each individual smoked as the count response and the general health condition of each individual as the ordinal response. For the count response there is incidence of excess values of 0 and 30.