迷失的文明 ——析莱辛《野草在唱歌》中殖民权力的分布

莱辛小说《野草在唱歌》为读者提供了殖民时期南部非洲殖民生活的广阔图景。小说运用象征手法,以独特的视角深度剖析各阶层之间等级森严的社会结构,揭示殖民权力与公民权利的冲突。通过分析殖民时期社会经济与法律制度的演变进程,梳理出殖民地时期殖民权力在南部非洲分布的具体状况。欧洲文明迷失在非洲大陆是殖民主义者追逐私利本性驱使下的必然结果,而由此产生的殖民主义与种族制度赋予了殖民者无上的殖民权力的同时,也完全剥夺了非洲殖民地人民的公民权利,使非洲大陆与这块大陆的主人承受了无尽而深重的苦难。     

女性欲望的分裂与张扬--对张爱玲《心经》中女性形象的再认识

旨在探讨《心经》中独特的女性形象以及张爱玲写此文的深层原因。生活在父权制社会下,男性凝望世界中的女性,渴望直接与男性对话,从而产生异样感情,特殊的母女关系经历了分裂到张扬再到重组的过程,表现出女性在与男性相抗衡的过程中的绝望与疯狂,也隐含作者内心深处的希望。     

犯罪圈的扩张及其合理限制——以我国刑事立法的变迁为视角

犯罪圈的扩张是我国刑事立法的主导方向,现代化的发展、权利的保护是犯罪圈在特定时期不断扩大的主要原因。立法上的犯罪化的内在根据,在于行为具有应受刑罚处罚程度的社会危害性。犯罪圈的扩张应当受到合理限制：遵循刑法的谦抑性原则,考虑新增罪名与其他罪名的关系,考虑国民的感受与认同并理性对待民意,在注重入罪的同时,也应做到及时地出罪。     

资本利润率趋向下降规律的启示

劳动社会生产力的发展致使在资本主义商品经济中有资本利润率趋向下降的规律,文中基于相同的原因又得出了在商品经济社会中也存在着工人生活必需品扩大的规律,并通过对于主要资本主义国家经济史的考察,验证了这一规律的正确性。最后,本文运用OLS法对我国国民收入结构进行线性回归分析发现：增加低收入者、工人阶层的工资收入,自觉运用工人生活必需品扩大规律,是当前破解宏观经济问题的关键。     

资本扩张、资本逻辑悖论与科学发展观

剩余价值一旦转化为资本,投入社会生产系统内部而使其得到增值,就会使整个经济系统不断扩张。这种资本扩张给社会发展提供了强大动力,也产生了深层危机,它引起社会经济系统、社会结构、资源环境和人的全面发展等方面的冲突,使资本无法扩张,形成“资本逻辑悖论”。科学发展观是实现这种价值复归的路径选择,是对资本扩张产生种种危机历史之谜的解答。     

扩招后高校课程表的编排、管理的优化

课程表是学校每学期教学计划的具体体现,是高等学校日常教学活动的“指挥调度表”,是教学任务能够很好完成的重要保证。扩招后如何优化高校课程表的编排和管理,是关乎教学运行的关键。     

On pseudo-values for regression analysis in competing risks models

For regression on state and transition probabilities in multi-state models Andersen et al. (Biometrika 90:15–27, 2003) propose a technique based on jackknife pseudo-values. In this article we analyze the pseudo-values suggested for competing risks models and prove some conjectures regarding their asymptotics (Klein and Andersen, Biometrics 61:223–229, 2005). The key is a second order von Mises expansion of the Aalen-Johansen estimator which yields an appropriate representation of the pseudo-values. The method is illustrated with data from a clinical study on total joint replacement. In the application we consider for comparison the estimates obtained with the Fine and Gray approach (J Am Stat Assoc 94:496–509, 1999) and also time-dependent solutions of pseudo-value regression equations.     

Approximate Bayesianity of Frequentist Confidence Intervals for a Binomial Proportion

The well-known Wilson and Agresti–Coull confidence intervals for a binomial proportion p are centered around a Bayesian estimator. Using this as a starting point, similarities between frequentist confidence intervals for proportions and Bayesian credible intervals based on low-informative priors are studied using asymptotic expansions. A Bayesian motivation for a large class of frequentist confidence intervals is provided. It is shown that the likelihood ratio interval for p approximates a Bayesian credible interval based on Kerman’s neutral noninformative conjugate prior up to O(n^{? 1}) in the confidence bounds. For the significance level α ? 0.317, the Bayesian interval based on the Jeffreys’ prior is then shown to be a compromise between the likelihood ratio and Wilson intervals. Supplementary materials for this article are available online.     

Improved likelihood inferences for Weibull regression model

A general procedure is developed for bias-correcting the maximum likelihood estimators (MLEs) of the parameters of Weibull regression model with either complete or right-censored data. Following the bias correction, variance corrections and hence improved t-ratios for model parameters are presented. Potentially improved t-ratios for other reliability-related quantities are also discussed. Simulation results show that the proposed method is effective in correcting the bias of the MLEs, and the resulted t-ratios generally improve over the regular t-ratios.