The function of college athletics,

"Reprinted from Proceedings of the Intercollegiate Athletic Association of the United States, 1909, by the Department of Child Hygiene of the Russell Sage Foundation."

Nonnuclear industrial hazardous waste : classifying for hazard management.

S/N 052-003-00859-9

Young people's socialisation into sport: A case study of an athletics club

This paper explores young people's (9 to 15 years old) early socialisation into sport. We draw on data from an 18-month-long ethnography of the junior section of an athletics club in England, using field notes, interviews and a psychometric questionnaire. We begin by noting a trend towards increasing numbers of younger children participating in adult-organised, community-based sport. Within this context, we investigate the extent to which Siedentop's [(1995) Junior Sport and the evolution of sport cultures, Keynote presentation to the Junior Sport Forum, Auckland, New Zealand] three main goals for young people's participation in sport, i.e. the educative, public health and elite development, are met in specific, local junior sport settings such as Forest Athletics Club (FAC). We report that most of the young people participating in the Introductory Groups at FAC begin their socialisation into sport by 'sampling' a range of sports and other activities that are available to them. We note the key features of the sampling phase for these young people, including their involvement in sports and other activities in addition to athletics, their reasons for participation, the place of competition and the importance of friendship. We report that FAC created a climate for the Samplers, intentionally or not, conducive to the development of Siedentop's educative goal, and to a lesser extent the public health and elite development goals. In concluding, we note the implications of the study for community-based programmes run by clubs.

Classifying client goals in community-based ABI rehabilitation: a taxonomy for profiling service delivery and conceptualizing outcomes

Purpose: To develop, confirm and trial a framework for analysing the content of goals set within community-based rehabilitation. This framework (taxonomy) is proposed as a tool to assist in service evaluation and outcome exploration. Method: Qualitative thematic analysis and categorization of 1765 rehabilitation goal statements in a four phase process of synthesis, refinement, verification and application. Results: A taxonomy of goal content was developed comprising 21 categories within five domains, utilizing 125 descriptors. The taxonomy demonstrated good inter-rater consistency and was able to discriminate between similar but related data sets comprising goal statements. Conclusion: Structured analysis of the content of goal setting (particularly in community rehabilitation) utilizing a framework such as the proposed taxonomy has considerable potential as a 'window' into service delivery to broaden the parameters of existing service evaluation and to more clearly link outcome exploration to intervention.

Classifying an opponent's behaviour in robot soccer

This paper illustrates the prediction of opponent behaviour in a competitive, highly dynamic, multi-agent and partially observableenvironment, namely RoboCup small size league robot soccer. The performance is illustrated in the context of the highly successful robot soccer team, the RoboRoos. The project is broken into three tasks; classification of behaviours, modelling and prediction of behaviours and integration of the predictions into the existing planning system. A probabilistic approach is taken to dealing with the uncertainty in the observations and with representing the uncertainty in the prediction of the behaviours. Results are shown for a classification system using a Naïve Bayesian Network that determines the opponent’s current behaviour. These results are compared to an expert designed fuzzy behaviour classification system. The paper illustrates how the modelling system will use the information from behaviour classification to produce probability distributions that model the manner with which the opponents perform their behaviours. These probability distributions are show to match well with the existing multi-agent planning system (MAPS) that forms the core of the RoboRoos system.

Classifying clinical decision making:a unifying approach

This is the first of two linked papers exploring decision making in nursing which integrate research evidence from different clinical and academic disciplines. Currently there are many decision-making theories, each with their own distinctive concepts and terminology, and there is a tendency for separate disciplines to view their own decision-making processes as unique. Identifying good nursing decisions and where improvements can be made is therefore problematic, and this can undermine clinical and organizational effectiveness, as well as nurses' professional status. Within the unifying framework of psychological classification, the overall aim of the two papers is to clarify and compare terms, concepts and processes identified in a diversity of decision-making theories, and to demonstrate their underlying similarities. It is argued that the range of explanations used across disciplines can usefully be re-conceptualized as classification behaviour. This paper explores problems arising from multiple theories of decision making being applied to separate clinical disciplines. Attention is given to detrimental effects on nursing practice within the context of multidisciplinary health-care organizations and the changing role of nurses. The different theories are outlined and difficulties in applying them to nursing decisions highlighted. An alternative approach based on a general model of classification is then presented in detail to introduce its terminology and the unifying framework for interpreting all types of decisions. The classification model is used to provide the context for relating alternative philosophical approaches and to define decision-making activities common to all clinical domains. This may benefit nurses by improving multidisciplinary collaboration and weakening clinical elitism.