The rhythms of social movement memories: the mobilization of Silvio Meier’s activist remembrance across platforms

ABSTRACT

This article presents a temporal analysis of the activist remembrance of Silvio Meier, a prominent member of Berlin’s radical left scene, who was stabbed to death in 1992. It asks: when has Meier’s activist remembrance occurred and been remediated, with what rhythms, and how has it been influenced by different platforms? To answer these questions, the article draws on the literature dedicated to the interface between social movements and collective and connective memory, and applies Lefebvre’s rhythmanalysis approach. Within this approach a diverse set of material is used to visualise the timing of the digital and non-digital remediation and mobilisation of Meier’s remembrance across different platforms of memory including commemorative events, newspapers, websites and social media. Thereafter the various temporalities of use associated with these platforms and how they can influence the mobilisation of remembrance by social movements is discussed using Lefebvre’s concepts of polyrhythmia, arrhythmia, isorhythmia, eurhythmia and with respect to, firstly, a fifteen-year period between 2002 and 2017 and secondly, a fifteen-day period between 15 November and 30 November 2012 around the twentieth anniversary of Meier’s death. The article concludes by introducing another Lefebvrian concept – dressage – in order to consider which rhythms of activist remembrance might most benefit social movements and their goals. Overall, by demonstrating the importance of attending to the when and not only the what, who, where and how of social movement memories and by highlighting the need to consider the temporal influence of the different digital and non-digital platforms that activists use, as well as, by indicating the broader potential of applying rhythmanalysis approaches to instances of activism, the article has broader relevance for the further study of social movements, their use of different media and their mobilization of memory.     

Bayesian predictions for compound weibull model

This paper is concerned with a full Bayesian analysis for some prediction problems of the compound model if the underlying distributions are Weibull with unequal shape parameters and the sample is type I censored. A numerical example and computer facilities will be used to illustrate the procedure.     

高校讲坛推进马克思主义哲学大众化的理论思考

高校讲坛历来是推进马克思主义哲学大众化的重要渠道和基本方式之一。本文主要从教育价值的视角,就高校讲坛如何有效推进马克思主义哲学大众化的必要前提、面临的价值矛盾及需要的价值支撑进行简要分析。     

Independent or dependent competing risks: does it make a difference

This article investigates the consequences of departures from independence when the component lifetimes in a series system are exponentially distributed. Such departures are studied when the joint distribution is assumed to follow either one of the three Gumbel bivariate exponential models, the Downton bivariate exponential model, or the Oakes bivariate exponential model. Two distinct situations are considered. First, in theoretical modeling of series systems, when the distribution of the component lifetimes is assumed, one wishes to compute system reliability and mean system life. Second, errors in parametric and nonparametric estimation of component reliability and component mean life are studied based on life-test data collected on series systems when the assumption of independence is made     

试论法条竞合的类型及其适用原则

法条竞合的本质是实质一罪、假性竞合,这一点区别于想象竞合之实质数罪、真正竞合的本质。明确界定法
条竞合的内涵和本质、厘清法条竞合的类型是正确适用处断原则的前提。法条竞合的类型应当从传统的纷繁复杂的
划分方法中寻找新的突破口,实现类型简明化。法条竞合属于法条关系论,而不是犯罪形态论,法条竞合的本质是构
成要件之间的竞合,据此可将法条竞合划分为三种类型：独立竞合、依附竞合、交叉竞合。其中独立竞合即传统上的特
别关系法条竞合,应当采用“特别法排斥普通法”的适用原则,摒弃“重法优于轻法”的补充原则。     

Accelerated life tests under competing weibull causes of failure

Accelerated life testing of a product under more severe than normal conditions is cawiionly used to reduce test time and cost. Data collected at such accelerated conditions is used to obtain estimates of parameters of a stress translation function which is then used to make inference about the product's, per" formance under normal conditions. This problem is considered when the product is a p component series system with WeibuH distributed component lifetimes liaving a caimon shape parameter. A general stress translation function is used and estimates of model parameters are obtained for various censoring schemes.     

Approximate variance formulas and asymptotic joint sampling distributions of standardized risk ratios in the presence of competing risks in cohort studies

The present paper is concerned with some results in cohort studies, in which the individuals in two study population are exposed simultaneously to several risks of death, which compete for their lives.

The morality experience of individuals in the two study populations is compared with respect to the morality experience of individuals in a well-defined and fixed population called the standard population.

Under some reasonable assumptions, not only simple variance formulas are-developed for the standardized risk ratio statistics (S[Rcirc]R_i) but also their joint asymptotic sampling distribution. It is demonstrated that these SRcirc;R_i's have asymptotically a multivariate normal distribtion corresponding to any given number of competing risks of death, These results are utilized to construct Scheffé-type and Sidak-type simultaneous confidence intervals for the SRR_i parameters which hold regardless of any covariance structure among the competing risks of death. The corresponding results for the cause-specific SMR and the externally standardized risk ratio parameters follow as special cases.

The present paper generalizes the available results in the literature in two directions, namely, to obtain simple variance formulas for the S[Rcirc]R_i, statistics and to treat the situation in the presence of competing risks to which individuals in a study are simultaneously exposed.

An empirical evaluation of these results is discussed in the last section utilizing some real cohort data from two recent occupational epidemiologic cohort studies.     

Asymptotic efficiency of a competing risks model: A two-sample case

A generalized Cox regression model is studied for the covariance analysis of competing risks data subject to independent random censoring. The information of the maximum partial likelihood estimates is compared with that of maximum likelihood estimates assuming a log linear hazard function.The method of generalized variance is used to define the efficiency of estimation between the two models. This is then applied to two-sample problems with two exponentially censoring rates. Numerical results are summarized ane presented graphically.The detailed results indicate that the semi-parametric model wrks well for a higher rate of censoring. A method of generalizing the result to type 1 censoring and the efficiency of estimating the coefficient of the covariate are discussecd. A brief account of using the results to help design experiments is also given.     

Latent cure rate model under repair system and threshold effect

In this paper, we formulate a simple latent cure rate model with repair mechanism for a cell exposed to radiation. This latent approach is a flexible alternative to the models proposed by Klebanov et al. [A stochastic model of radiation carcinogenesis: latent time distributions and their properties. Math Biosci. 1993;18:51–75], Kim et al. [A new threshold regression model for survival data with a cure fraction. Lifetime Data Anal. 2011;17:101–122], and is along the lines of the destructive cure rate model formulated recently by Rodrigues et al. [Destructive weighted Poisson cure rate model. Lifetime Data Anal. 2011b;17:333–346]. A new version of the modified Gompertz model and the promotion cure rate model that takes into account the first passage time of reaching the critical point are discussed, and the estimation of tumor size at detection is then addressed from the Bayesian viewpoint. In addition, a simulation study and an application to real data set illustrate the usefulness of the proposed cure rate model.