Parent–professional interviews in child protection: Comparing viewpoints

Several studies have analysed the parent–professional relationship in the field of child protection. Although social workers tend to privilege interviews when working with families and view them as a means through which to build ties, few studies have focused on these interviews. To analyse how professionals and parents position themselves, we chose to focus on the content of these interviews and on the associated interactions. To this end, we recorded 13 parent–professional interviews after receiving the consent of the concerned parties. After analysing the interviews, we asked volunteer social workers and parents to analyse their own recorded interviews. Our results confirm the asymmetric nature of the parent–professional relationship. They show that professionals' viewpoints carry more weight than those of parents. They also underscore professionals' lack of openness and the strategies parents implement to cope with this power imbalance. Lastly, our results open new avenues for reflection on the evolution of practices that may enable professionals to better take into account families' viewpoints.     

东北亚区域能源合作研究

在经济全球化背景下,各国在能源领域的相互依赖性不断加强。在东北亚地区东北亚能源需求急剧增加、东北亚地区能源进口依存度高和能源引起的环境保护问题日益突出的条件下,东北亚地区必须通过区域范围的能源合作来保障能源安全。东北亚区域必须依靠地缘优势和日益紧密的经济联系,通过协商和协议进行能源合作,以保障各国的能源安全和共同利益。虽然目前东北亚区域能源合作受各种因素的影响,进展较为缓慢,但合作前景非常广阔,东北亚区域能源合作可以在许多重点领域展开。     

信息化视阈下海外学生党建工作的现状与创新模式研究 ——以南京邮电大学海外教育学院为例

随着我国各种形式的中外合作办学项目的数量和规模不断扩大,海外学生党员的比例也越来越大。规范化、科学化地做好海外学生党员和入党积极分子的教育和管理工作已是当前和今后高校基层党建工作的重要内容。通过规范海外学生党组织建设,以"网络党建"为平台,开拓海外学生党建工作新模式,从而增强海外学生的向心力和凝聚力。     

欧盟三大科技计划对我国跨行政区科技合作的启示

欧盟三大科技计划,即框架计划、尤里卡计划和欧洲科技领域研究合作组织,在促进区域科技项目合作方面积累了丰富的经验,具体表现在:项目的进行采取多成员国合作的形式;主要经费来源于各国政府;管理机构简练高效;遵循一定的原则.而我国科技资源分布不均衡,科技计划项目合作深度与广度均有待加强.借鉴欧盟经验,促进我国跨行政区科技合作,应加强对落后地区科技发展的扶持;制定跨行政区科技合作的条文规定;加强人力资源合作和共享、积极推动全国范围的科技合作;建立跨地区科技计划项目合作协调机制.     

A new estimator of Kullback–Leibler information and its application in goodness of fit tests*

We propose here a general statistic for the goodness of fit test of statistical distributions. The proposed statistic is constructed based on an estimate of Kullback–Leibler information. The proposed test is consistent and the limiting distribution of the test statistic is derived. Then, the established results are used to introduce goodness of fit tests for the normal, exponential, Laplace and Weibull distributions. A simulation study is carried out for examining the power of the proposed test and to compare it with those of some existing procedures. Finally, some illustrative examples are presented and analysed, and concluding comments are made.     

On approximations via convolution-defined mixture models

An often-cited fact regarding mixing or mixture distributions is that their density functions are able to approximate the density function of any unknown distribution to arbitrary degrees of accuracy, provided that the mixing or mixture distribution is sufficiently complex. This fact is often not made concrete. We investigate and review theorems that provide approximation bounds for mixing distributions. Connections between the approximation bounds of mixing distributions and estimation bounds for the maximum likelihood estimator of finite mixtures of location-scale distributions are reviewed.     

An omnibus two-sample test for ranked-set sampling data

We develop an omnibus two-sample test for ranked-set sampling (RSS) data. The test statistic is the conditional probability of seeing the observed sequence of ranks in the combined sample, given the observed sequences within the separate samples. We compare the test to existing tests under perfect rankings, finding that it can outperform existing tests in terms of power, particularly when the set size is large. The test does not maintain its level under imperfect rankings. However, one can create a permutation version of the test that is comparable in power to the basic test under perfect rankings and also maintains its level under imperfect rankings. Both tests extend naturally to judgment post-stratification, unbalanced RSS, and even RSS with multiple set sizes. Interestingly, the tests have no simple random sampling analog.     

What influences the size of child maintenance payments? A register‐based study of maintenance payments in Finland

The aim of this study was to explore how particular economic and demographic factors contribute to the level of the child maintenance payment (CMP) paid by the non‐resident parent. For this study, we used 5‐year longitudinal panel data from years 2009 to 2013 consisting of over 80,000 non‐resident parents from the Finnish Tax Administration and The Finnish Population Register Centre. Results from regression models indicate that the single biggest factor affecting the size of CMPs is the number of dependent children. We found that the non‐resident parent's higher income is associated with higher CMPs and that non‐resident fathers pay on average larger CMPs than non‐resident mothers, even after accounting for differences in income. Unexpectedly, we found that the age of the dependent child did not predict changes in CMPs. This suggests that once formal CMP‐contracts are determined between the parents, they are seldom changed. Our results suggest that some degree of mandatory periodic review for maintenance contracts is worth considering.