Enacting reflective and deliberative practices in action research

ABSTRACT

We consider action research as a form of deliberative policy analysis. This analysis explores a “reconstruction clinic” in which stakeholders and public officials engaged memories, hopes and obligations as they sought to resolve controversies over details of policy implementation. We ask how institutional design shaped participants’ reflective and deliberative progress. Reflection in action can prompt not only changes in cognitive frames, but new behavioural capacities for action. Deliberative practices can shape new relationships between parties through the work of apology, recognition, appreciation, and emergent collaboration.     

A qualitative study on participants’ perceptions of child development accounts in Korea

ABSTRACT

In 2007, Korea implemented Child Development Accounts (CDAs) for institutionalised children in child welfare systems. Since then, the target group and a matching cap of CDAs in Korea have evolved. The target group expanded to include poor children receiving welfare, whereas the matching cap increased from KRW 30,000 (US$26.53) to KRW 40,000 (US$35.38), which is matched at a 1:1 rate. Despite the expansion, there is little empirical evidence examining the extent to which CDAs have influenced the life of participants. Using a content analysis method with a sample (N = 22), this study examines how CDAs have changed children’s mindsets, saving habits, education, future planning and sponsorship. The findings suggest that CDAs have multiple positive influences on children. This study concludes with policy implications for the inclusive and progressive development of CDAs in Korea.     

The practice of deliberative policy analysis in the context of political and cultural challenges: lessons from Thailand

ABSTRACT

This article draws upon insight from a study of those involved in introducing deliberative policy analysis in Thailand at the city scale and presents lessons for both policy practitioners and scholars. The design of each deliberative forum differed, depending on lessons learned from previous forums and the consensus that emerged as a result of deliberation amongst forum facilitators. The underlying principle of this kind of deliberative design is to make deliberative processes authentic, by avoiding coercion, inclusive, by engaging stakeholders who bring forth different ideas, and impactful. To make these forums more exciting, deliberative practices are often linked to other attractive discourses, such as those surrounding smart cities, creative spaces and inclusive development. The case of Thailand sheds light on emerging challenges involved in the practice of deliberative policy analysis in the context of both national political regimes that are not democracies and those in the East.     

数学化：当代哲学社会科学发展的必然趋势

由于数学所具有的多种功能 ,哲学社会科学不仅可以引进数学的计量方法 ,也可以引进数学中的非计量方法如逻辑方法、思维技巧和有关概念以充实、补充和改善哲学社会科学的研究。哲学社会科学的数学化 ,已经成为当代科学发展的一个重要特点     

土族组成成分分析

本文根据《甘肃新通志》、《明实录》的记载,分析了清末13159户土族的组成情况。     

汽车拖拉机轮胎损伤原因浅析

本文详细阐述了现代宇宙学的主要理论和目前存在的主要问题，并进一步探讨了未来发展的可能途径。     

论民族视角的经济研究

本文提出把民族作为中国少数民族经济或民族经济学的分析框架。民族生存的自然环境和民族认同的文化特质构成民族概念的内在规定,并呈现为民族经济生活自然差异和文化差异二重性。把握民族经济生活差异二重性是建构学科理论框架的关键。     

Semiparametric regression methods for temporal processes subject to multiple sources of censoring

Process regression methodology is underdeveloped relative to the frequency with which pertinent data arise. In this article, the response-190 is a binary indicator process representing the joint event of being alive and remaining in a specific state. The process is indexed by time (e.g., time since diagnosis) and observed continuously. Data of this sort occur frequently in the study of chronic disease. A general area of application involves a recurrent event with non-negligible duration (e.g., hospitalization and associated length of hospital stay) and subject to a terminating event (e.g., death). We propose a semiparametric multiplicative model for the process version of the probability of being alive and in the (transient) state of interest. Under the proposed methods, the regression parameter is estimated through a procedure that does not require estimating the baseline probability. Unlike the majority of process regression methods, the proposed methods accommodate multiple sources of censoring. In particular, we derive a computationally convenient variant of inverse probability of censoring weighting based on the additive hazards model. We show that the regression parameter estimator is asymptotically normal, and that the baseline probability function estimator converges to a Gaussian process. Simulations demonstrate that our estimators have good finite sample performance. We apply our method to national end-stage liver disease data. The Canadian Journal of Statistics 48: 222–237; 2020 © 2019 Statistical Society of Canada