A rational approach to career change

Recently, the number of physicians who have been interested in alternative careers has vastly increased. Many physicians express dissatisfaction with clinical practice, but they are uncertain about which nonclinical options are appropriate for them. Pursuing a different career after many years of studying and practicing medicine can seem like an overwhelming task. In this article, the author briefly outlines a decision-making process that can be used in analyzing career options and suggests some careers that have provided challenging opportunities for physicians.     

What Do Movements Mean? The Value of Participant-Observation

Participant-observation can teach us much about the everyday meanings of doing social activism. I conceptualize these implicit meanings in relation to work in the sociology of culture, and social movement studies, and give examples from activists' everyday interaction. A participant-observer's forays into implicit meanings illuminate three dimensions of activists' experiences: the ways activists practice democratic citizenship in their groups, the ways they build group ties, and the ways they define the meaning of activism itself. By probing these implicit meanings, we can address questions that concern many social movement scholars. We increase our understanding of how movements grow, accomodate conflict, and build alliances, and we can specify which insights are useful in theories of contemporary or new social movements.     

Who Pays? Can We Pay Them Back?

This chapter is about a very old question that is thrown up again in discussion related to ANT. Do orders have necessary limits to what can belong to them? It is possible to read ANT as containing or demanding a moral commitment to the inclusion of the disenfranchised. It can often seem to be in the business of giving credit where credit is due, spreading recognition to even the most unexpected quarters. To sustain itself such a morality would depend on the possibility of infinite inclusion. By identifying this picture of 'belonging-by-assemblage' and its traditional counterpart 'belonging-by-banishment' and by finding both at play within ANT, the papers argues that ANT is an ethical rather than a moral enterprise, bringing the unanswered question of the nature of belonging to bear across domains, rather than approaching each domain with a 'cookie-cutter' moral formula. The disturbing 'unsecuring' of belonging that ANT involves continues within the philosophical tradition ANT trades on and contributes to in the form of an abiding controversy over the place of the natural world.     

The corporate energy policy: A management planning perspective

The energy problems facing the world have been receiving increasing attention in the press and in business journals. This article examines the attitudes of 224 U.S. business executives toward the energy crisis and examines the role of a corporate energy policy in minimizing the economic impact of future energy price increases and/or shortages. A plan for a corporate energy policy is proposed.     

A spanning heuristic for the unordered and ordered matching identification problem

The matching identification problem (MIP) is a combinatoric search problem related to the fields of learning from examples, boolean functions, and knowledge acquisition. The MIP involves identifying a single “goal” item from a large set of items. Because there is commonly a cost associated with evaluating each guess, the goal item should be identified in as few guesses as possible. As in most search problems, the items have a similar structure, which allows an evaluation of each guessed item. In other words, each guessed item elicits partial information about the goal item, i.e. how similar the guess is to the goal. With this information the goal is more quickly identified.The unordered MIP has been studied by Mehrez and Steinberg (ORSA J. Comput. 7 (1995) 211) in which they proposed two different types of algorithms. The purpose of the present paper is to suggest an improved Spanning Heuristic algorithm. Its improvement increases as the problem size increases. Further results and comparisons are derived for the unordered and ordered cases.This research shows that when the search space is very large, it is better to inquire from items that are known not to be the goal (they have been ruled out by previous guesses), for the purpose of acquiring more information about the goal. As the search space is narrowed, it is better to guess items that have not been ruled out.