and support in writing this article. QUALITATIVE HEALTH RESEARCH, Vol. 15 No. 9, November 2005 1277-1288 DOI: 10.1177/1049732305276687 © 2005 use content analysis and the analytic procedures employed in such studies, thus avoiding a muddling of methods Our purpose in this article is to present the breadth

for unskilled labor is less well developed. In this paper, we apply an understanding of what computers do – the execution of procedural or rules-based logic – to develop a simple model of how the widespread adoption of computers in the workplace might alter workplace skill demands. An essential contention

are usually formatted for use by people (e.g., the relevant content is embedded in HTML pages), so extracting their content is difficult. Wrappers are often used for this purpose. A wrapper is a procedure for extracting a particular resource's content. Unfortunately, hand-coding wrappers is tedious. We

crucially on the choice of effective term-weighting systems. This article summarizes the insights gained in automatic term weighting, and provides baseline single-term-indexing models with which other more elaborate content analysis procedures can be compared.

In this article we show how Optimality Theory yields a highly general Constraint Demotion principle for grammar learning. The resulting learning procedure specifically exploits the grammatical structure of Optimality Theory, independent of the content of substantive constraints defining any given

Previous research has shown that trait concepts and stereotypes become active automatically in the presence of relevant behavior or stereotyped-group features. Through the use of the same priming procedures as in previous impression formation research, Experiment l showed that participants whose

. Higher-order logic has several practical advantages over other meta-logics. Many proof techniques are known, such as Huet's higher-order unification procedure. Key words: higher-order logic, higher-order unification, Isabelle, LCF, logical frameworks, meta-reasoning, natural deduction Contents 1

Libraries have traditionally used manual image annotation for indexing and then later retrieving their image collections. However, manual image annotation is an expensive and labor intensive procedure and hence there has been great interest in coming up with automatic ways to retrieve images based

curves are defined, an algorithm for their construction is given, some theoretical results are presented, and the procedure is compared to other generalizations of principal components. Two applications illustrate the use of principal curves. The first describes how the principal-curve procedure was used

significance, namely, the presence of high-frequency content words (key words), the methods described here also treat three additional components: prag-matic words (cue words); title and heading words; and structural indicators (sentence loca-tion). The research has resulted in an operating system and a