Science and the Future of Theology: Critical Issues

The ambivalent reputation of theology as an academic discipline is attributed to the often circular character of its procedures based on presumed authoritative sources. Recently, science too has come under the shadow of "postmodernist" critiques but, it is argued, has been able to withstand them successfully and make epistemologically warrantedclaims to be depicting reality—thereby vindicating human rationality. Evolutionary epistemological considerations also reinforce confidence in the more general deliverances of the human exploration of reasonableness through inference to the best explanation (IBE). The consequences of applying IBE, with its associated criteria, in theological investigation are considered in relation to theology as it is and as it might be. A number of issues critical for thedevelopment of a credible theology are identified. In spite of the challenging and somewhat negative view of contemporary theology to which this leads, hope is expressed that a genuinely credible "evangelical,""catholic," and liberal theology may yet emerge for the new millennium.     

The blaze of her splendors: Suggestions about revitalizing fallacy theory

Criticisms of fallacy theory have been lodged from many different directions. In this paper, I consider the classic criticism of incompleteness by DeMorgan, Finocchiaro's claim that fallacies probably exist only in the mind of the interpreter, McPeck's claim that fallacies are at best context-dependent and Paul's complaints about the teaching of fallacies. I seek not merely to defend fallacy theory against unfair criticisms but also to learn from the criticisms what can be done in order to make fallacy theory a viable theory of criticism. I argue that this will involve several changes: rethinking of the nature of fallacy; addressing some theoretical issues; and presenting fallacy theory in a more rigorous fashion. The paper concludes with reflections on how Quine's ontological advice about the resolution of ontological disputes might be applied to the issue of whether or not there are fallacies.     

Woods on Ideals of Rationality in Dialogue

Woods' paper Ideals of Rationality in Dialogue raises six problems for dialogue theory. Woods is right about the seriousness of the problems, but one school of dialogue, that stemming from the work of Charles Hamblin, avoids each of Woods' problems by using commitment instead of belief and by using only immediate logical relations. This paper summarises the reasons Hamblin's school took this course, and explains how Woods' problems are thereby avoided.     

Axiomatizations with Context Rules of Inference in Modal Logic

A certain type of inference rules in (multi-) modal logics, generalizing Gabbay's Irreflexivity rule, is introduced and some general completeness results about modal logics axiomatized with such rules are proved.     

Education and Understanding Structural Causes for Group Inequalities

Group inequalities in the United States are most often attributed to the characteristics of the individuals who belong to these groups; thinking about structural causes of group inequalities is rare. This paper reviews cognitive, cultural, and systemic reasons for this bias. The efficacy of education as a way to increase structural thinking was investigated in two studies of college students' causal thinking about group inequalities. Both studies involved a course on intergroup relations that covered structural sources of racial or ethnic inequalities. Results supported hypotheses that the course would increase structural thinking about racial or ethnic inequality, and that structural thinking would generalize to inequalities not explicitly covered in the course. Both course content and active learning pedagogy were related to structural thinking about inequalities. Active learning was also related to applying structural thinking to targets of change.     

On the Psychological Significance of the Euclidean Representation of Implicit Personality Theory

The overall purpose of the present study was to investigate the psychological significance of the Euclidean representation of implicit personality theory (IPT) by testing the predictive usefulness of this representation. Multidimensional scaling analyses of 18 subjects' estimates of assumed trait co-occurences (IPT) gave Euclidean trait-distance matrices which were used to predict the subjects' trait-to-trait inferences. The results showed that: (1) The Euclidean representations of subjects' IPTs can be used to predict ( p < 0.10) most subjects' (14 of 18) trait-to-trait inferences; (2) The similarity between the Euclidean representation of subjects' IPTs was positively correlated (r_s = 0.43, p < 0.001) with the similarity between subjects' trait-to-trait inferences. These results suggest that the Euclidean representation of IPT has some predictive value, and thus, may at least to some extent, be justified and considered as psychologically significant.     

FREE SPEECH

Recognition of the harms done by free speech is a function of the social ontology presupposed. An atomist ontology implies that the harms suffered are restricted to individual people. This paper suggests an alternate ontology—one that describes systems established by the causal reciprocities of their proper parts. It proposes a consequentialist moral theory, and considers the harms suffered by these systems (a) when speech exposes their internal, otherwise private, behaviors or features, (b) when speech is malicious and false, and (c) when speech is monopolistic. Does the proposed ontology have objectionable implications for public policy? Alternative answers are considered briefly.     

Intervention effects and relative variation as dimensions in experts' use of visual inference

Recent research indicates that when analyzing graphically presented single-subject data, subjects trained in visual inference appear to attend to large changes between phases regardless of relative variation and do not differentiate among common intervention effect patterns. In this follow-up study, experts in applied behavior analysis completed a free-sort task designed to assess the effects of these dimensions on their use of visual inference. The results indicate that they tended to differentiate among common intervention effect patterns but did not attend to relative variation in the data.     

A SIMPLIFIED TIME-SERIES ANALYSIS FOR EVALUATING TREATMENT INTERVENTIONS

Time-series analysis procedures for analyzing behavioral data are receiving increasing support. However, several authorities strongly recommend using at least 50–100 points per experimental phase. A complex mathematical model must then be empirically developed using computer programs to extract serial dependency from the data before the effects of treatment interventions can be evaluated. The present discussion provides a simple method of evaluating intervention effects that can be used with as few as 8 points per experimental phase. The calculations are easy enough to do by hand.     

Evaluating interobserver reliability of interval data

Previous recommendations to employ occurrence, nonoccurrence, and overall estimates of interobserver reliability for interval data are reviewed. A rationale for comparing obtained reliability to reliability that would result from a random-chance model is explained. Formulae and graphic functions are presented to allow for the determination of chance agreement for each of the three indices, given any obtained per cent of intervals in which a response is recorded to occur. All indices are interpretable throughout the range of possible obtained values for the per cent of intervals in which a response is recorded. The level of chance agreement simply changes with changing values. Statistical procedures that could be used to determine whether obtained reliability is significantly superior to chance reliability are reviewed. These procedures are rejected because they yield significance levels that are partly a function of sample sizes and because there are no general rules to govern acceptable significance levels depending on the sizes of samples employed.