Can a Knowledge Sanctuary also be an Economic Engine? The Marketization of Higher Education as Institutional Boundary Work

Universities, particularly research‐intensive ones, have responded to a variety of external and internal influences by retooling their missions, culture, and organizational structures to generate revenue from market opportunities. This has resulted in the marketization of higher education: organizational practices that blur the boundary between knowledge‐driven and profit‐driven institutions. This blurring has spurred debates and uncertainties over the scope and boundaries of the 21st century university. We argue that these debates spring from institutional boundary work at the intersection of the three main missions of the contemporary academy: knowledge production, student learning, and satisfying the social charter. These missions can sometimes create areas of synergy, but also tensions that are particularly acute where market logics and business‐oriented practices contradict academic values. Within knowledge production, a key dilemma is the extent to which knowledge advancement should aim for transcendence versus revenue generation. Within student learning, the dilemma involves incommensurability between the ideals of democratic citizenship and demonstrable return on investment. Within the social charter mission, the dilemma is over whether the university can serve the public welfare while also facilitating the growth of local and national economies.     

平行法则：早期上古汉语中“者”的出现

文章为覆盖前期上古汉语Pre—archaic Chinese（公元前14世纪至公元前11世纪）与早期上古汉语Early—archaic Chinese（公元前11世纪至公元前6世纪）的历时性研究，目的在于更好地揭示早期上古时代所出现的“者”之功用。研究表明，“者”的功能与前期上古所出现的“之”的功能间存在着“平行对应”关系，我们将此关系定义为“平行法”机制，此机制从属于“类比”。存在于“之”与“者”之间的“平行法”机制可能促使了“者”的功能的涌现。     

Family Control and Stock Market Reactions to Innovation Announcements

Although family firms are common around the world, studies on family‐controlled business are limited. Prior studies mainly focused on the influences of family ownership on overall firm performance, and the results were mixed. In this study we attempted to explore the impacts of family ownership on innovation by examining the association of family control and stock market reactions to innovation announcements. We found that firms with greater family control experienced significantly more negative stock market reactions to innovation announcements. The results further indicated that divergence of cash flow and voting rights was strongly and negatively correlated with announcement‐period abnormal returns. In addition, the findings suggested a significantly positive moderating effect of institutional ownership. The conclusions were robust under various measures of family control, and remained valid after controlling other influential factors for stock market reactions to innovation announcements.     

Exponential tilt models for two-group comparison with censored data

We study application of the Exponential Tilt Model (ETM) to compare survival distributions in two groups. The ETM assumes a parametric form for the density ratio of the two distributions. It accommodates a broad array of parametric models such as the log-normal and gamma models and can be sufficiently flexible to allow for crossing hazard and crossing survival functions. We develop a nonparametric likelihood approach to estimate ETM parameters in the presence of censoring and establish related asymptotic results. We compare the ETM to the Proportional Hazards Model (PHM) in simulation studies. When the proportional hazards assumption is not satisfied but the ETM assumption is, the ETM has better power for testing the hypothesis of no difference between the two groups. And, importantly, when the ETM relation is not satisfied but the PHM assumption is, the ETM can still have power reasonably close to that of the PHM. Application of the ETM is illustrated by a gastrointestinal tumor study.     

k-POD: A Method for k-Means Clustering of Missing Data

The k-means algorithm is often used in clustering applications but its usage requires a complete data matrix. Missing data, however, are common in many applications. Mainstream approaches to clustering missing data reduce the missing data problem to a complete data formulation through either deletion or imputation but these solutions may incur significant costs. Our k-POD method presents a simple extension of k-means clustering for missing data that works even when the missingness mechanism is unknown, when external information is unavailable, and when there is significant missingness in the data.

[Received November 2014. Revised August 2015.]     

宪政运行的成本结构

分析宪政运行的成本结构，对于宪法实施、宪政评价和宪政社会的构建都有重要的时代意义。宪政运行成本就是宪政运行过程中所产生和付出的代价和费用，具有交易费用的性质。宪政运行的成本结构包括立宪成本、行宪成本、守宪成本和违完成本等。