符号正义与公共行政 ——基于语言游戏的正义视角

公共行政是正义研究的重要领域。传统理论多采用罗尔斯、诺齐克和沃尔泽等人为正义提供的客观标准。但这些标准不仅在理论上相互冲突,而且在公共行政的实践中也常常会导致模棱两可的判断。本研究旨在提出一种符号正义的观念,来指导当代公共行政的理论与实践。这种观念认为正义并不存在中立客观的标准,而是被群体共享的信念和实践所建构。研究者只有将正义置于特定语言游戏的背景中,才能真正理解其发生和运作。因为和正义相关的不同语言游戏之间只存在家族相似性,所以公共行政必须面对相互冲突的复杂环境。符号正义的观念能够为这种公共行政问题的复杂性提供必不可少的分析框架。     

Effects of Political Advertising

Relationships between broadcast advertising exposure and variouscognitive and affective orientations were assessed in a surveyof voters during a congressional election campaign. Exposurewas moderately correlated with political knowledge and interest.Highly exposed voters were somewhat more likely to attach higheragenda priorities to issues and candidate attributes emphasizedin the commercials. Personal affect toward each candidate wasmildly associated with advertising exposure frequency.     

Incorporating Time‐Dose‐Response into Legionella Outbreak Models

A novel method was used to incorporate in vivo host–pathogen dynamics into a new robust outbreak model for legionellosis. Dose‐response and time‐dose‐response (TDR) models were generated for Legionella longbeachae exposure to mice via the intratracheal route using a maximum likelihood estimation approach. The best‐fit TDR model was then incorporated into two L. pneumophila outbreak models: an outbreak that occurred at a spa in Japan, and one that occurred in a Melbourne aquarium. The best‐fit TDR from the murine dosing study was the beta‐Poisson with exponential‐reciprocal dependency model, which had a minimized deviance of 32.9. This model was tested against other incubation distributions in the Japan outbreak, and performed consistently well, with reported deviances ranging from 32 to 35. In the case of the Melbourne outbreak, the exponential model with exponential dependency was tested against non‐time‐dependent distributions to explore the performance of the time‐dependent model with the lowest number of parameters. This model reported low minimized deviances around 8 for the Weibull, gamma, and lognormal exposure distribution cases. This work shows that the incorporation of a time factor into outbreak distributions provides models with acceptable fits that can provide insight into the in vivo dynamics of the host‐pathogen system.     

Child Poverty Measurement in the UK: Assessing Support for the Downgrading of Income-Based Poverty Measures

Social Indicators Research - In 2016 the UK’s Conservative Government radically changed the official approach to child poverty measurement, scrapping targets for income poverty and material...     

Estimation of Error and Bias in Bayesian Monte Carlo Decision Analysis Using the Bootstrap

Bayesian Monte Carlo (BMC) decision analysis adopts a sampling procedure to estimate likelihoods and distributions of outcomes, and then uses that information to calculate the expected performance of alternative strategies, the value of information, and the value of including uncertainty. These decision analysis outputs are therefore subject to sample error. The standard error of each estimate and its bias, if any, can be estimated by the bootstrap procedure. The bootstrap operates by resampling (with replacement) from the original BMC sample, and redoing the decision analysis. Repeating this procedure yields a distribution of decision analysis outputs. The bootstrap approach to estimating the effect of sample error upon BMC analysis is illustrated with a simple value-of-information calculation along with an analysis of a proposed control structure for Lake Erie. The examples show that the outputs of BMC decision analysis can have high levels of sample error and bias.     

Team‐Level Antecedents of Individuals' Knowledge Networks*

Individuals' knowledge networks are widely considered to contribute substantially to the effectiveness and efficiency of organizations. While the positive effects of knowledge networks as a primary driver of social capital have recently received considerable research attention, potential determinants of individuals' network building have not yet been adequately addressed. In this study, we investigate how certain team‐level properties affect team members' development of knowledge networks through the course of a team project. Using data from 430 team leaders and team members pertaining to 145 software development projects, we test cross‐level hypotheses using hierarchical linear modeling (HLM). The results indicate that the team's perception of the organizational knowledge‐sharing climate, the team's networking preference, and the team's perceived importance of networking for project success positively affect individuals' network building. Furthermore, a team's perception of the adequacy of its technical competency and a team's perception of the adequacy of its material resources inhibit team members' individual network development. Theoretical and managerial implications are discussed.     

A Critical Analysis of Australian Television Coverage of Election Opinion Polls

Much recent attention has focused on the nature and possibleeffects of media coverage of opinion polls. Accordingly, thisarticle reports the results of a detailed critical analysisof Victorian television news coverage of election opinion pollsduring the 1980 Australian federal election campaign. Five aspectsof the coverage were analyzed: its extent, focus, completeness,accuracy, and critical balance. The results of the study indicatethat the coverage was seriously, perhaps irredeemably, flawed