The vacuous concept of dignity

Rights talk dominates contemporary moral discourse. It is also having a growing impact on the development of legal principle and doctrine. One of the best known general arguments in support of rights-based moral theories is the one given by John Rawls, who claims that only rights-based theories take seriously the distinction between human beings; only they can be counted on to protect certain rights and interests that are so paramount that they are beyond the demands of net happiness (Rawls 1971). Charges and assertions of this nature have been extremely influential. After the Second World War, there was an immense increase in rights talk, both in the sheer volume of that talk and in the number of supposed rights being claimed. Rights doctrine has progressed a long way since its original modest aim of providing “a legitimization of … claims against tyrannical or exploiting regimes” (Benn 1978: 61). As Tom Campbell points out: The human rights movement is based on the need for a counter-ideology to combat the abuses and misuses of political authority by those who invoke, as a justification for their activities, the need to subordinate the particular interests of individuals to the general good (Campbell 1996: 13).

Concept-based document readability in domain specific information retrieval

Domain specific information retrieval has become in demand. Not only domain experts, but also average non-expert users are interested in searching domain specific (e.g., medical and health) information from online resources. However, a typical problem to average users is that the search results are always a mixture of documents with different levels of readability. Non-expert users may want to see documents with higher readability on the top of the list. Consequently the search results need to be re-ranked in a descending order of readability. It is often not practical for domain experts to manually label the readability of documents for large databases. Computational models of readability needs to be investigated. However, traditional readability formulas are designed for general purpose text and insufficient to deal with technical materials for domain specific information retrieval. More advanced algorithms such as textual coherence model are computationally expensive for re-ranking a large number of retrieved documents. In this paper, we propose an effective and computationally tractable concept-based model of text readability. In addition to textual genres of a document, our model also takes into account domain specific knowledge, i.e., how the domain-specific concepts contained in the document affect the document’s readability. Three major readability formulas are proposed and applied to health and medical information retrieval. Experimental results show that our proposed readability formulas lead to remarkable improvements in terms of correlation with users’ readability ratings over four traditional readability measures.