Buddhist commons and the question of a third sector in Asia

Very little attention has been devoted by third sector researchers to the question of comparable or related activities in Asia. This article explores a complex of Asian Buddhist religious beliefs and practices using ‘the commons’ as a comparative concept. Examination of published, English-language sources provides clear evidence of the existence of a variety of third sector-like activity in Asia far in the past. Village codes codifying charitable practices and village associations have been recorded in China, Japan and Korea. In addition, a good deal of charitable and philanthropic activity has been associated with Asian Buddhism: beliefs supporting gift exchange (dharma anddana), veneration of certain leader-philanthropists, a distinctive model of community organisation (sangha), a Japanese model of fund-raising (kanjin) campaigns, and a long tradition of international Buddhist convocations are among the range of indigenous common goods which can be found in the Asian context prior to any discernible western influences.     

ECONOMIC DEPENDENCY AND GENDER DIFFERENCES IN LABOR FORCE SECTORAL CHANGE IN NON-CORE NATIONS

This study examines two versions of how economic dependency has affected relative gender positioning in non-core nations' labor forces since the 1960s. A "new dependency" version asserts that multinational corporate investment in manufacturing has transformed the labor forces of such nations, permitting women unusual access to relatively high-paying, if ephemeral, light manufacturing positions. A "traditional trade dependency" version suggests that, despite the aforementioned transformation in some non-core nations, the dominant form of dependency in most remains traditional: they export primary goods in return for manufactured imports. This version claims that such structures not only deter women's entry into the formal labor force as a whole, but constrain those who do enter to relatively marginal agricultural positions. Panel analyses of data on non-core nations evaluates these versions and both receive considerable support.     

The knower and the known

In this paper, I address a dilemma in the theory of knowledge and argue that this dilemma can be overcome by invoking the work of two well known social scientists—Marx (here considered as a sociologist) and Piaget (a psychologist). The dilemma considered is that of the relationship between what are here called independent (i.e., non-circular) and relational definitions; each form of definition has been the basis of a particular approach to the knowable (the independent definition being the basis of empiricism and the relational definition being the basis of Hegelianism) and each of these approaches can be shown to be unsatisfactory: empiricism, brilliantly successful in practice, runs itself, at the theoretical level, into the circular and the relational; while Hegelianism, although impregnable in logic, gains such impregnability at the cost of any delimitation and, hence of precision and refutability. It is argued that Marx (a follower of Hegel) as adapted by Piaget, can indeed overcome these difficulties and so present us with a theory of knowledge that makes possible an approach that is both successful in practice and reputable in logic.     

Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis

Expert knowledge is an important source of input to risk analysis. In practice, experts might be reluctant to characterize their knowledge and the related (epistemic) uncertainty using precise probabilities. The theory of possibility allows for imprecision in probability assignments. The associated possibilistic representation of epistemic uncertainty can be combined with, and transformed into, a probabilistic representation; in this article, we show this with reference to a simple fault tree analysis. We apply an integrated (hybrid) probabilistic‐possibilistic computational framework for the joint propagation of the epistemic uncertainty on the values of the (limiting relative frequency) probabilities of the basic events of the fault tree, and we use possibility‐probability (probability‐possibility) transformations for propagating the epistemic uncertainty within purely probabilistic and possibilistic settings. The results of the different approaches (hybrid, probabilistic, and possibilistic) are compared with respect to the representation of uncertainty about the top event (limiting relative frequency) probability. Both the rationale underpinning the approaches and the computational efforts they require are critically examined. We conclude that the approaches relevant in a given setting depend on the purpose of the risk analysis, and that further research is required to make the possibilistic approaches operational in a risk analysis context.     

Self-monitoring and 360-degree ratings

We examined the relationship between self-monitoring (SM) and supervisor, assessor, peer, and subordinate ratings for 191 managers who participated in a developmental assessment center. We collected self-ratings from the managers concerning their ability and motivation to engage in self-monitoring. SM ability was positively related to supervisor and assessor ratings of interpersonal effectiveness (e.g., empowerment, managing teams, influencing others) but was unrelated to supervisor and assessor ratings of business competence (e.g., planning, decision making, strategic thinking, business knowledge). In contrast, SM motivation was negatively related to peer ratings of business competence. Still, SM explained relatively little variance in 360-degree ratings. 360-degree ratings do not appear to be contaminated by the target manager's SM; the small but significant relationship between SM ability and ratings appears to be job-related (and therefore desirable).     

Updating Parameters of the Chicken Processing Line Model

A mathematical model of chicken processing that quantitatively describes the transmission of Campylobacter on chicken carcasses from slaughter to chicken meat product has been developed in Nauta et al. (2005). This model was quantified with expert judgment. Recent availability of data allows updating parameters of the model to better describe processes observed in slaughterhouses. We propose Bayesian updating as a suitable technique to update expert judgment with microbiological data. Berrang and Dickens's data are used to demonstrate performance of this method in updating parameters of the chicken processing line model.     

Stochasticity in Physiologically Based Kinetics Models: Implications for Cancer Risk Assessment

In case of low-dose exposure to a substance, its concentration in cells is likely to be stochastic. Assessing the consequences of this stochasticity in toxicological risk assessment requires the coupling of macroscopic dynamics models describing whole-body kinetics with microscopic tools designed to simulate stochasticity. In this article, we propose an approach to approximate stochastic cell concentration of butadiene in the cells of diverse organs. We adapted the dynamics equations of a physiologically based pharmacokinetic (PBPK) model and used a stochastic simulator for the system of equations that we derived. We then coupled kinetics simulations with a deterministic hockey stick model of carcinogenicity. Stochasticity induced substantial modifications relative to dose-response curve, compared with the deterministic situation. In particular, there was nonlinearity in the response and the stochastic apparent threshold was lower than the deterministic one. The approach that we developed could easily be extended to other biological studies to assess the influence of stochasticity at macroscopic scale for compound dynamics at the cell level.