The Counseling Process as Defined by Relationship Types: A Test of Helms's Interactional Model

Helms (1984) presented a model to explain the influence of Black and White racial identity development on counseling interactions. The purpose of this study was to examine her hypothesis that specific combinations of racial identity attitudes contribute to qualitatively different counseling process and outcome or relationship types.     

Beyond cognitive ability: Improving the prediction of performance

New measures of practical intelligence and personality traits were assessed for their ability to improve the prediction of performance beyond cognitive ability. Measures of practical intelligence from the newly developed Constructive Thinking Inventory and traits measuring emotional stability and expedience were used as independent variables in regression analyses predicting academic performance, training performance and leadership ratings of 86 student leaders. The constructive thinking scales added significantly to the prediction of academic performance, beyond measures of cognitive ability. Constructive thinking also accounted for unique variance predicting training performance and leadership ratings. Personality traits were unrelated to performance or leadership.     

The Logic of the Development of Feminism; or,Is MacKinnon to Feminism as Parmenides Is to Greek Philosophy?

Catharine MacKinnon's investigation of the role of sexuality in the subordination of women is a logical culmination of radical feminist thought. If this is correct, the position of her work relative to radical feminism is analogous to the place Parmenides's work occupied in ancient Greek philosophy. Critics of MacKinnon's work have missed their target completely and must engage her work in a different way if feminist theory is to progress past its current stalemated malaise.     

Lenin,Hegel and Western Marxism: From the 1920s to 1953

I would like to thank the following people for helpful comments and criticisms: Janet Afary, Paul Buhle, Bud Burkhard, Olga Domanski, Nigel Gibson, Peter Hudis, Martin Jay, Douglas Kellner, Andrew Kliman, Pierre Lantz, Heinz Osterle, Jim Thomas, Lou Turner, and Alan Wald.     

Parallel distributed processing and neuropsychology: A neural network model of Wisconsin card sorting and verbal fluency

Neural networks can be used as a tool in the explanation of neuropsychological data. Using the Hebbian Learning Rule and other such principles as competition and modifiable interlevel feedback, researchers have successfully modeled a widely used neuropsychological test, the Wisconsin Card Sorting Test. One of these models is reviewed here and extended to a qualitative analysis of how verbal fluency might be modeled, which demonstrates the importance of accounting for the attentional components of both tests. Difficulties remain in programming sequential cognitive processes within a parallel distributed processing (PDP) framework and integrating exceedingly complex neuropsychological tests such as Proverbs. PDP neural network methodology offers neuropsychologists co-validation procedures within narrowly defined areas of reliability and validity.     

Multiple listing for organ transplantation: autonomy unbounded

Recently, debate about the distribution of scarce organs for transplantation has focused on whether patients should have the right to place themselves on waiting lists at several transplant centers, thereby gaining an advantage over other potential recipients. This article explores the social and ethical issues raised by multiple listing, contrasting policies adopted at the national level with those implemented in New York State. It concludes by examining the implications of the debate for broader questions about entitlement and access to health care.     

Universal health care, American style: a single fund approach to health care reform

With increasing momentum for health care reform, attention is shifting to finance reform that will provide for direct methods for controlling health care spending. This article outlines the two principal paths to direct cost control and outlines a national plan that retains our multiple sources of payment, yet also contains a powerful direct cost control technique: a single fund to finance all health care.     

Low-dimensional chaos maps learning in a model neuropil (olfactory bulb).

Quantification of a chaotic system can be made by calculating the correlation dimension (D2) of the data that the system generates (Packard et al., 1980). The D2 algorithm, however, requires stationarity of the generator, a feature that biological data rarely reflect (Mayer-Kress et al., 1988). So we developed the "point correlation dimension" (PD2), an algorithm that accurately tracks D2 in linked data of different dimensions (Carpeggiani et al., 1991). We now present a mathematical argument that, for stationary data, individual PD2s converge to D2 and we demonstrate that the algorithm rejects contributions made by bursts of noise. Data were obtained from the surface of the olfactory bulb of the conscious rabbit (64 electrodes, 640 Hz each, 1.3 sec epochs) before and after presentation of a novel or habituated odor. D2 could be calculated in only 1 of 10 novel-odor trials, whereas PD2 could be calculated in all. Both algorithms indicated that a novel odor evokes a spatially uniform dimensional increase. The PD2 uniquely exhibited the dimensional decreases that occur during inspiration and the gradients of mean dimension present during the nonstimulated control state. These control gradients remained unchanged without odor experience, but showed spatially specific PD2 increases following odor habituation. It is interpreted that, 1) the PD2 is sensitive, accurate, and appropriate for dimensional assessment of biological data, 2) that during analysis of unfamiliar information a single global process is transiently evoked in the neuropil, and 3) after experience multiple spatially specific processes tonically map the sites of learning.