唯物辩证法视阈下新时代社会主要矛盾变化探析

唯物辩证法是理解新时代社会主要矛盾变化的哲学前提。在唯物辩证法视阈下,党的十九大报告提出的社会主要矛盾变化是主观辩证法与客观辩证法互动的历史性结论,内涵着唯物辩证法意蕴,是新时代标志、丰富内涵与创新性工作要求的有机统一。在时代价值维度,社会主要矛盾变化标志着中国特色社会主义发展的阶段性质变、中国社会主义现代化战略目标的转变、中国特色社会主义走向世界舞台中心的国际地位变化;在思想内涵维度,新时代社会主要矛盾变化集中体现为矛盾条件的客观性变化、矛盾因素的共时性变化、矛盾关系的根本性变化,需要辩证性的理解;在工作方法维度,社会主要矛盾变化对工作实践提出了新的发展理念、新的问题关切以及弘扬创新工作精神等创新性要求。     

兰州市洒水治污政策变迁路径与动力研究——基于定性比较分析法

以兰州市洒水车治污政策为研究案例,应用清晰集定性比较分析法（Crisp-set QCA）研究地方政府具体环保政策的变迁问题。分析发现,自上而下的政治压力、公众舆论压力、媒介压力、专家压力以及领导变更等五类8个解释变量可以作为案例政策变迁的驱动因素,其中,中央媒介压力是政策变迁的必要条件。按照不同的驱动因素组合,兰州洒水治污政策变迁有4种演进路径,其中,最短路径是“中央媒介压力且网络媒介压力”与“领导批示且中央媒介压力”。此外,在本政策案例中,领导批示不但没有促成政策变迁,甚至不构成变迁的必要条件。无论是“地方领导留言板”,还是“门户网站留言板”均非政策变迁的充分或必要条件,因此未能彰显公民参与在政策问题建构中的权力扩大,公众并没有实质拥有建构权,也未能成为建构主体,仅依赖互动平台的构建是无法打破原有的政策问题建构秩序的,因而也不能促使政策变迁彰显民意。     

Who killed change management?

A story is told here of an investigation into change management's apparent death, provoked by the dubious business novel Who Killed Change [Blanchard, K., J. Britt, P. Zigarmi, and J. Hoekstra. 2009. Who Killed Change? Solving the Mystery of Leading People Through Change. London: Harper Collins Publishers]. The story is told over eight chapters inviting you to investigate competing explanations for the death of change management using the structure of the story arc: stasis, trigger, quest, surprise, critical choice, climax, reversal and resolution. An annoying voice (sometimes interior monologue and at other times dialogue) of another reader keen to inform and frame your understanding of the status of change management remains ever present. The case is solved with the story's resolution providing insights into advantages of investigating over literature reviewing, the problematic/masculine nature of murder metaphors, the academic potential of story arcs and the mystery which characterises organizational change.     

Attenuating Initial Beliefs: Increasing the Acceptance of Anthropogenic Climate Change Information by Reflecting on Values

Anthropogenic climate change information tends to be interpreted against the backdrop of initial environmental beliefs, which can lead to some people being resistant toward the information. In this article (N = 88), we examined whether self‐affirmation via reflection on personally important values could attenuate the impact of initial beliefs on the acceptance of anthropogenic climate change evidence. Our findings showed that initial beliefs about the human impact on ecological stability influenced the acceptance of information only among nonaffirmed participants. Self‐affirmed participants who were initially resistant toward the information showed stronger beliefs in the existence of climate change risks and greater acknowledgment that individual efficacy has a role to play in reducing climate change risks than did their nonaffirmed counterparts.     

An algorithm for maximum likelihood estimation in incomplete block variance component models

In the recovery of interblock information to improve the treatment differences estimates in incomplete block designs, the parameter p is usually unknown. Many authors have worked on the problem of estimating it and of studying its properties together with the properties of the treatment differences estimates. In this paper a numerically efficient algorithm is developed which yields the maximum likelihood estimates (MLE) of all the parameters in the mixed incomplete block design model (treatment effects, ρ and variance)     

The performance of alternative estimators for the probit model with first-order serial correlation 1

The purpose of the paper is to evaluate the relative performance of two generalized conditional moment (GCM) estimators in terms of their mean squared errors, for the Probit model with first-order serial correlation. The first estimator is a linearized one-step estimator described by Poirier and Ruud (1988). The second one is defined in the present paper. Monte Car10 experiments suggest that the GCM estimators outperform the ordinary Probit estimator. The two GCM estimators do almost equally well, except that the second one may be easier to calculate, especially in large samples.     

Action,Technology, and the Homogenisation of Place: Why Climate Change is Antithetical to Political Action

According to Hannah Arendt, the concept of ‘political action’ is a fundamental component of the human condition because it encapsulates how the uniqueness of each human being intersects to create unpredictable political initiatives and effects. Recently, despite being one of the most daunting political challenges ever faced by humanity, there has been a noted collective action failure, or inaction, concerning the global threat of anthropogenic climate change. Why? This article seeks to explain this political inaction in a new way: by examining the metaphysical role that technology plays in disclosing the climate as a thinkable and global object. After applying the philosophy of Martin Heidegger to the complex mathematical general circulation models (GCMs) used by the Intergovernmental Panel on Climate Change (IPCC), this article details how the metaphysics underlying GCMs manifests the perceivable world by ‘enframing’ it, or by implicitly representing subjects, objects, and Nature itself, as a predictable, calculable, and orderable relation of static forces. When this metaphysical and mathematical uniformity constructs the climate as a calculable object that is globalised through the IPCC, it is ultimately found to be contradictory to the distinctness and unpredictability necessary for distinct human action to occur. Paradoxically, therefore, political action is argued to be metaphysically antithetical to the technologically enframed science, politics, and discourse, of global climate change itself. The importance of distinct and plural human places, when filtered through GCMs, becomes subsumed by the climate as a homogenous, calculative, and politically inactive, global object.     

Conditional entropy,entropy density,and strong law of large numbers for generalized controlled tree-indexed Markov chains

In this paper, we first introduces a tree model without degree boundedness restriction namely generalized controlled tree T, which is an extension of some known tree models, such as homogeneous tree model, uniformly bounded degree tree model, controlled tree model, etc. Then some limit properties including strong law of large numbers for generalized controlled tree-indexed non homogeneous Markov chain are obtained. Finally, we establish some entropy density properties, monotonicity of conditional entropy, and entropy properties for generalized controlled tree-indexed Markov chains.     

Culture Change in Aged-Care Facilities: A Café's Contribution to Transforming the Physical and Social Environment

Objective: To discuss the potential of a café on the premises of an aged-care facility as a vehicle for culture change. Method: Secondary analysis of primary qualitative data that explored the value of a café in an aged-care facility, compared with culture-change principles established from a literature review. Results: Secondary analysis established congruence between culture-change principles and the themes established in the primary qualitative data. A café, in one aged-care facility, has facilitated the following dimensions of culture change for residents: individualized care, facilitation of meaningful relationships, opportunities for participation in life roles, and creation of a sense of belonging. Conclusion: Culture change can be achieved through environmental innovations, such as a café, where food and dining maximize social opportunities and create a homelike environment that facilitates continuation of residents' identity.     

女性创业动机变迁与自我发展

选取浙江省杭州市20名创业女性为访谈对象的创业动机变迁研究显示,在2005年之前,女性创业动机以"推式动机"为多,而自2006年始,女性创业动机呈现出以"拉式动机"为主的趋势。这种变化主要与女性受教育程度提高、个性更为独立、追求更为自由的发展空间等相关。女性创业动机的变化趋势,在很大程度上反映了女性自我发展正趋向更高的水平。