Public participation: democratic ideal or pragmatic tool? The cases of GM foods and functional foods

Over recent decades, public participation initiatives have been employed across Europe often with a focus on science and technology issues. In the area of new food technologies most participation initiatives have centered on genetically modified foods. By contrast, in the area of functional foods--where significant EU legislation was recently passed--we have seen no initiatives towards public inclusion. This applies also for Denmark, the country which is the focus of this article. Based on an interview study with members of the Danish parliament the article examines why such considerable differences exist between initiatives to involve the public, and it challenges the role that public participation plays in Danish politics. The main claim made in the article is that although politicians argue for the value and relevance of public participation their willingness to initiate participatory processes is overruled by their concern with playing by the rules of the political game.     

Retrieval constraints and word frequency distributions a log-logistic model for IR

We first present in this paper an analytical view of heuristic retrieval constraints which yields simple tests to determine whether a retrieval function satisfies the constraints or not. We then review empirical findings on word frequency distributions and the central role played by burstiness in this context. This leads us to propose a formal definition of burstiness which can be used to characterize probability distributions with respect to this phenomenon. We then introduce the family of information-based IR models which naturally captures heuristic retrieval constraints when the underlying probability distribution is bursty and propose a new IR model within this family, based on the log-logistic distribution. The experiments we conduct on several collections illustrate the good behavior of the log-logistic IR model: It significantly outperforms the Jelinek-Mercer and Dirichlet prior language models on most collections we have used, with both short and long queries and for both the MAP and the precision at 10 documents. It also compares favorably to BM25 and has similar performance to classical DFR models such as InL2 and PL2.     

Can self-esteem protect against the deleterious consequences of self-objectification for mood and body satisfaction in physically active female university students?

Using objectification theory (Fredrickson & Roberts, 1997), this study tested the interaction between self-objectification, appearance evaluation, and self-esteem in predicting body satisfaction and mood states. Participants (N = 93) were physically active female university students. State self-objectification was manipulated by participants wearing tight revealing exercise attire (experimental condition) or baggy exercise clothes (control condition). Significant interactions emerged predicting depression, anger, fatness, and satisfaction with body shape and size. For participants in the self-objectification condition who had low (as opposed to high) appearance evaluation, low self-esteem was associated with high depression, anger, and fatness and low satisfaction with body shape and size. In contrast, for participants with high self-esteem, these mood and body satisfaction states were more favorable irrespective of their levels of appearance evaluation. For female exercisers, self-esteem-enhancing strategies may protect against some of the negative outcomes of self-objectification.     

What is the ‘personal’ in ‘personal information’?

Ethics and Information Technology - Contemporary privacy theories and European discussions about data protection employ the notion of ‘personal information’ to designate their areas of...