This paper is based on my M.Sc. dissertation: ‘The Origins of Numerical Taxonomy’ 1985, submitted to the University of Leicester during the tenure of a D.E.S. State Studentship. For this work I drew extensively on interviews with Professors A. J. Cain, G. A. Harrison, R. R. Sokal and P. H. A. Sneath. I am very grateful to them for their time, interest and encouragement. Without the indefatigable assistance of Jon Harwood, this paper would never have been finished.

Les lecteurs ayant une simple connaissance de la littérature de recherche dans le domaine de la formation des enseignants au cours des 25 dernières années sont conscients de l’augmentation spectaculaire de l’utilisation de la «réflexivité» pour décrire les attributs souhaités ou les comportements des participants au programmes de développement professionnel pour les enseignants novices ou expérimentés. Notre intention est de tirer parti de nos propres expériences collectives de pratiques de recherche et d’enseignement pour cartographier comment et pourquoi nous avons d’abord (...) été interpellés par les nombreuses significations associées à ce terme et comment notre compréhension a changé au cours des quelque 25 dernières années. Nous pensons que ce type de «réflexion-sur-expérience» est mieux révélée grâce à l’utilisation d’un style narratif et donc nous avons délibérément utiliser un format conversationnel afin de faire part de notre histoire. (shrink)

The aim of this essay is to present a model of ethical technology management which assumes that elites who make the system design and development decisions should minimize the risks to stakeholders rather than maximize gains for their organizations. Given the unsettled state in ethical theory a familiar substantive Social, Economic, Environmental and Rights value set or ‘SEER’ ethic is presented. To enable foresight of the negative SEER effects of innovations a technology life cycle is introduced. A cognate issue life (...) cycle is presented to facilitate the ethical resolution of SEER issues associated with such effects. The resultant problem of increased front end load delays and costs, due to ongoing system redesign and stakeholder discussions is found to preferable to high ‘rear end load’ crisis costs, e.g., ofthe Ford Pinto, Exxon Valdez, Dalkon lUD Shield, and the Union Carbide Bhopal plant. Furthermore the model promises improved returns on the capital investments involved, indications for further research in ethics, economics and organizational theory are noted. (shrink)

Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...) brain capture bottom-up patterns of activation in sensory-motor areas. Later, in a top-down manner, association areas partially reactivate sensory-motor areas to implement perceptual symbols. The stor- age and reactivation of perceptual symbols operates at the level of perceptual components – not at the level of holistic perceptual expe- riences. Through the use of selective attention, schematic representations of perceptual components are extracted from experience and stored in memory (e.g., individual memories of green, purr, hot). As memories of the same component become organized around a com- mon frame, they implement a simulator that produces limitless simulations of the component (e.g., simulations of purr). Not only do such simulators develop for aspects of sensory experience, they also develop for aspects of proprioception (e.g., lift, run) and introspec- tion (e.g., compare, memory, happy, hungry). Once established, these simulators implement a basic conceptual system that represents types, supports categorization, and produces categorical inferences. These simulators further support productivity, propositions, and ab- stract concepts, thereby implementing a fully functional conceptual system. Productivity results from integrating simulators combinato- rially and recursively to produce complex simulations. Propositions result from binding simulators to perceived individuals to represent type-token relations. Abstract concepts are grounded in complex simulations of combined physical and introspective events. Thus, a per- ceptual theory of knowledge can implement a fully functional conceptual system while avoiding problems associated with amodal sym- bol systems. Implications for cognition, neuroscience, evolution, development, and artificial intelligence are explored. (shrink)