怀疑意识、主体性及其他——论孙郁鲁迅研究中的哲学视角

哲学视角是孙郁的鲁迅研究中起步早、且一以贯之的一个方向，他独创性地将鲁迅与康德进行比较，认为在强调认识的有限性这一点上，二人不乏相似性。孙郁强调怀疑意识作为鲁迅思想的“内核”，并指出其在文化史上的意义。他以“主体性”思想为参照，对鲁迅思想和作品进行了深度解读，进而指出传统的“主奴文化”是形成“相互主体性”思想的障碍。概而言之，孙郁对于哲学视角的运用，并非纯粹的知识生产，具有鲜活的生命力和学术价值。      

The role of leadership in shared value creation from the public’s perspective: A multi-continental study

Porter and Kramer’s concept of creating shared value (CSV) has been welcomed as an approach to corporate social responsibility (CSR) among corporations that also provides a practical opportunity for dialogue in public relations, but it has been little examined from the general population’s (i.e., the public’s) perspective. Such scrutiny is important because its findings enable public relations to contribute to the debate and development of CSV from both the public’s and the organization’s viewpoints. Additionally, if public relations professionals understand how the public perceives CSV, they can give a strategic perspective to top management for maximizing moral capabilities of the business and formulate effective communication to promote CSV initiatives. This study investigates whether the public prefers corporations to practice CSV as opposed to intrinsic CSR as a separate pursuit from business interests. It also explores the role of leadership as an influential and ethical construct in implementing effective CSV as perceived by the public. The public’s preference for CSV over intrinsic CSR was revealed in a survey of 1784 participants in the United States (US), Germany, and China. Factor analysis results further suggested that effective CSV competencies of CEOs were construed as a unidimensional concept in the US, but German and Chinese participants viewed it as two-dimensional. The public perceived that leaders’ moral character played a more important, core role in effective CSV than did altruistic and behavioral attributes, across nations. Network analysis of the perceived effective CSV-characteristics provides further implications for CSV communication.     

‘I nearly lost my work’: chance encounters,legal empowerment and the struggle for disability rights in Ghana

This article uses a case study from Ghana to argue that rights-based legal instruments are important but insufficient steps towards securing disability rights in non-western societies. Despite Ghana’s implementation of a Disability Act and ratification of the United Nations Convention on the Rights of Persons with Disabilities, a grassroots perspective shows that legislation and the model of legal empowerment will not automatically produce equal access to human rights. The paper will present this argument through a case study of an individual who became disabled in 2008 and struggled for four years to secure his rights to healthcare and employment. I also argue that the case has a wider significance for disability rights in Ghana and beyond.     

Gender differences in the effect of social resources and social status on the retirement satisfaction and health of retirees

This study explores the effect of positive and negative social support, social reciprocity, and subjective social status on the retirement satisfaction and health of retirees and gender differences therein. Using cross-sectional data from the 2010 and 2012 waves of the Health and Retirement Study (HRS), we found that social support seems to matter more for the retirement satisfaction and health of women, while social reciprocity matters more for the health of men and subjective social status for the retirement satisfaction of men. Implications for the development of social programs and policies over the life course are discussed.     

基于元网络分析的重大基础设施建设项目风险评估框架与实证

重大基础设施项目具有战略性、集成性、复杂性等特征，项目容易受到多种风险因素的综合影响，导致项目目标的偏离。现有风险评估与风险决策的方法缺乏对于风险因素、风险事件之间关联的分析。为了实现重大基础设施建设项目综合系统的风险评估，本文采用元网络分析方法，构建项目目标、风险事件和风险因素的交互模型，揭示重大基础设施风险事件发生机制的黑箱过程。风险评估过程中，通过多个网络叠加运算分析每个风险因素对于各种风险事件以及项目各目标的影响情况，改进了以往仅对风险因素单一影响程度的风险评估方法。同时，本研究选择我国某河流水电站过坝运输项目方案比选的风险评估过程验证方法的适用性。     

基于利他偏好的学习模型及其实验研究

利他行为一直伴随着人类的历史,同时企业的成长过程也是一个不断学习的过程,因此建立基于利他偏好的学习博弈模型更加符合企业的需要,然而目前尚未见此研究.考虑了利他偏好之后,用效用函数取代直接收益,建立了改进的EWA学习模型,确定各参数的取值方法,给出了初始魅力值计算公式.设计了二级供应链情景下的实验,通过实验获得了数据.采用Matlab软件统计分析后发现:与基本EWA模型相比,考虑了利他偏好之后,实验者的策略选择更快地收敛,说明考虑利他偏好后EWA学习模型的学习效果更好.另外,社会距离越小,实验者的策略选择也越快地收敛,说明社会距离对策略的选择有显著影响,企业应该注重培养战略伙伴关系,降低社会距离,形成长期的合作关系.     

Coworker support as a moderator in the relationship between daily experience of workload and an individual’s experience of same-day WFC: a buffer or an intensifier?

ABSTRACT

The present study looks at the interaction between daily experiences in the workplace – daily workload and daily coworker support – and examines its influence on negative affect and its subsequent impact on same-day work–family conflict (WFC). It proposes two competing moderation hypotheses (buffering vs. intensifying). According to the COR theory, support received from coworkers represents a resource that should buffer the relationship between daily workload and same-day WFC, because it should prevent individuals from experiencing negative affect triggered by high workload episodes which represents a threatening or stressful situation. In contrast, the threat to self-esteem model posits that receiving social support may engender feelings of indebtedness or helplessness at the time such support is provided, thereby amplifying the impact of workload experience on same-day WFC via an increased negative affect. Data collected from 130 pharmacists over 5 consecutive days were analyzed through multilevel structural equation modeling. The results support the hypothesis of the intensifying conditional indirect effect, and show that when individuals are provided with coworker support while experiencing high workload, negative affect is aggravated and hence, in turn, same-day WFC increases. This challenges the mainstream hypothesis that views social support as an important resource in protecting people from stressful events.     

Childbirth experience in women participating in a continuity of midwifery care project

BackgroundContinuity models of care are rare in Sweden, despite the evidence of their benefit to women and babies. Previous studies have shown certain factors are associated with a positive birth experience, including continuity of midwifery care.AimThe aim was to investigate women's childbirth experiences in relation to background data, birth outcome and continuity with a known midwife, in a rural area of Sweden.MethodsAn experimental cohort study. Participating women were offered continuity of midwifery care in pregnancy and birth, during selected time periods. Data were collected in mid-pregnancy and two months after birth. The Childbirth Experience Questionnaire was used to determine women's birth experiences.ResultA total of 226 women responded to the follow-up questionnaire. Not living with a partner, fear of giving birth, and a birth preference other than vaginal were associated with a less positive birth experience. Having had a vaginal birth with no epidural, no augmentation and no birth complication all yield a better birth experience. Women who had had a known midwife were more likely to have had a positive birth experience overall, predominantly in the domain Professional support.ConclusionsThe results of this study showed that women who received care from a known midwife in labour were more likely to have a positive birth experience. The results also pointed out the benefits of a less medicalized birth as important for a good birth experience, and that some women may need extra support to avoid a less positive birth experience.     

Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods

ABSTRACT

The optimal learner for prediction modeling varies depending on the underlying data-generating distribution. Super Learner (SL) is a generic ensemble learning algorithm that uses cross-validation to select among a ‘library’ of candidate prediction models. While SL has been widely studied in a number of settings, it has not been thoroughly evaluated in large electronic healthcare databases that are common in pharmacoepidemiology and comparative effectiveness research. In this study, we applied and evaluated the performance of SL in its ability to predict the propensity score (PS), the conditional probability of treatment assignment given baseline covariates, using three electronic healthcare databases. We considered a library of algorithms that consisted of both nonparametric and parametric models. We also proposed a novel strategy for prediction modeling that combines SL with the high-dimensional propensity score (hdPS) variable selection algorithm. Predictive performance was assessed using three metrics: the negative log-likelihood, area under the curve (AUC), and time complexity. Results showed that the best individual algorithm, in terms of predictive performance, varied across datasets. The SL was able to adapt to the given dataset and optimize predictive performance relative to any individual learner. Combining the SL with the hdPS was the most consistent prediction method and may be promising for PS estimation and prediction modeling in electronic healthcare databases.