经济赋能与社区融合—以一个西部地区的反贫困实践为例

文章基于陕西省白水县的农村反贫困实践探索,从发展性社会工作视角探讨经济赋能与社区融合干预对于残疾人脱贫发展的意义。 这一反贫困实践案例显示,贫困者的生计发展嵌入在其家庭及社区的关系性脉络中,依托于残疾人互助合作社的社区融合介入,有助于残疾人的经济与社会的双重赋能,提升残疾人生计发展的内生动力。 同时,本地社会组织在残疾人反贫困中发挥关键作用,社会组织的能动性发展促进了多主体合作参与的贫困治理,也带动了社会工作专业理念和方法在反贫困实践中的运用。     

Age Is But a Number? An Exploration of Age Differences in Episodic Volunteering

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - Age has long been understood as a strong demographic determinant of volunteering. However, to date, limited literature...     

“But I’m not a racist!” Phenomenology,racism, and the body schema in white,pre-service teacher education

In this article, I call for a phenomenological turn in educating white, pre-service teachers. As opposed to dominant pedagogical models which focus on changing one’s beliefs about race, phenomenology points toward the importance of pre-conceptual, pre-critical forms of racial embodiment. Here I draw upon recent work on the different between body image (beliefs about the body) and body schema (what the body can do). The worry is that existing forms of anti-oppressive education miss the centrality of the schema, and thus do not go far enough in uncovering the embodied, perceptual roots of racism.     

舟山灯塔历史概述

灯塔一般位于海岸、港口或河道，用以指引船只的航行方向。灯塔大都类似塔的形状，透过塔顶的透镜系统，将光芒射向海面或河面照明。舟山地处我国大陆海岸线中部，长江口南侧，杭州湾外缘东海洋面上，自古有“江浙之门户，四明之藩篱”之称，历史上就为中国重要的海上贸易通道。为保障海上航行安全，舟山很早就设立导航设施，到清晚期，随着航线的日益繁忙以及导航技术的发展，舟山设立了众多的近代灯塔，这些灯塔大多保留完整，其数量之多，密度之高，在全国首屈一指。     

A new long-term survival model with dispersion induced by discrete frailty

Lifetime Data Analysis - Frailty models are generally used to model heterogeneity between the individuals. The distribution of the frailty variable is often assumed to be continuous. However, there...     

Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction

Empirical Bayes is a versatile approach to “learn from a lot” in two ways: first, from a large number of variables and, second, from a potentially large amount of prior information, for example, stored in public repositories. We review applications of a variety of empirical Bayes methods to several well‐known model‐based prediction methods, including penalized regression, linear discriminant analysis, and Bayesian models with sparse or dense priors. We discuss “formal” empirical Bayes methods that maximize the marginal likelihood but also more informal approaches based on other data summaries. We contrast empirical Bayes to cross‐validation and full Bayes and discuss hybrid approaches. To study the relation between the quality of an empirical Bayes estimator and p, the number of variables, we consider a simple empirical Bayes estimator in a linear model setting. We argue that empirical Bayes is particularly useful when the prior contains multiple parameters, which model a priori information on variables termed “co‐data”. In particular, we present two novel examples that allow for co‐data: first, a Bayesian spike‐and‐slab setting that facilitates inclusion of multiple co‐data sources and types and, second, a hybrid empirical Bayes–full Bayes ridge regression approach for estimation of the posterior predictive interval.     

Inference and Decision Making for 21st-Century Drug Development and Approval

ABSTRACT

The cost and time of pharmaceutical drug development continue to grow at rates that many say are unsustainable. These trends have enormous impact on what treatments get to patients, when they get them and how they are used. The statistical framework for supporting decisions in regulated clinical development of new medicines has followed a traditional path of frequentist methodology. Trials using hypothesis tests of “no treatment effect” are done routinely, and the p-value < 0.05 is often the determinant of what constitutes a “successful” trial. Many drugs fail in clinical development, adding to the cost of new medicines, and some evidence points blame at the deficiencies of the frequentist paradigm. An unknown number effective medicines may have been abandoned because trials were declared “unsuccessful” due to a p-value exceeding 0.05. Recently, the Bayesian paradigm has shown utility in the clinical drug development process for its probability-based inference. We argue for a Bayesian approach that employs data from other trials as a “prior” for Phase 3 trials so that synthesized evidence across trials can be utilized to compute probability statements that are valuable for understanding the magnitude of treatment effect. Such a Bayesian paradigm provides a promising framework for improving statistical inference and regulatory decision making.     

制度风险的法律维度: 突破非物质文化遗产保护的瓶颈

以风险理论审视非物质文化遗产的现行法律制度,根据风险产生根源不同,非物质文化遗产保护的制度风险会表现为制度运转失灵风险、制度功能偏差风险和公平性缺失风险。化解制度风险,形成制度风险的维度,不可基于同一个标准,而是需要在大的框架之下论及制度风险的法律管控,需要有针对性地创构"建立私权,善用公权"的多元法律控制体系,并在体系内引入技术规制,创设"非物质文化遗产权",推动民间习惯法与法律制度、公法与私法的互动式发展。