On Primoratz's Definition of Terrorism

ABSTRACT In “What is terrorism?” Igor Primoratz defines ‘terrorism’ as “the deliberate use of violence, or threat of its use, against innocent people, with the aim of intimidating them, or other people, into a course of action they otherwise would not take.” I argue that this definition needs to be modified (1) by requiring that the harm or threat be to persons other than those intimidated, (2) by including aims which do not concern action, and (3) by distinguishing terrorists who know they are terrorists from those who do not.     

Professions, Trades, and the Obligation to Inform

ABSTRACT The concept of a 'professional', as distinguished from that of a 'tradesman', encompasses both white collar workers and those who produce excellent work in any occupation. These divergent meanings have a common philosophical source in the way workers justify their work. A worker becomes a professonal by professing reasons for doing his work in a certain way. A worker is a tradesman if the value of his work in trade is the sole justification for the way it is done. Workers can be both professionals and tradesmen, unless what the consumer will buy and what is proper are different, placing 'reason value'and 'trade value'into conflict. Value conflicts are most likely in occupations involving a high level of theoretical knowledge, where the consumer has trouble judging what is proper. Thus, we say that professional persons work in white collar occupations, but that is misleading, for 'professional'is a way of handling value conflicts, not a kind of work. In value conflicts the worker has an obligation to inform the consumer—to profess reasons—about what is proper work.     

A Validity and Multiple Regression Study of Performance in the GEPI as a Predictor for Performance on the GED

This study attempts to determine the relationship between the subtests of the General Education Performance Index (GEPI) and the revised version of the General Educational Development Test (GED), and reports a technique whereby performance on the GEPI may be used to predict performance on the GED. Participants were men and women, aged 16 to 62, who were given the GEPI and then the GED. Multiple regression equations were generated to predict GED scores using age and each GEPI score. No significant correlation was found between age and GED scores or between age and GEPI scores, but a highly significant correlation (p > .001) was found between each GEPI subtest score and the subsequent score attained on the GED. Regression equations for each subtest and cross validation that demonstrated high predictive validity for each regression equation are reported.