In Defence of Non-conceptual Content

In recent times, Evans’ idea that mental states could have non-conceptual contents has been attacked. McDowell (Mind and World, 1994) and Brewer (Perception and reason, 1999) have both argued that that notion does not have any epistemological role because notions such as justification or evidential support, that might relate mental contents to each other, must be framed in conceptual terms. On his side, Brewer has argued that instead of non-conceptual content we should consider demonstrative concepts that have the same fine grainess of non-conceptual contents while having conceptual structure. In what follows I will argue that, first, that the notion of demonstrative concept is not viable and, second, that there is an epistemological role for non-conceptual content.

Institutional Insights for Analysing Strategic Manoeuvring in the British Prime Minister’s Question Time

This paper aims at creating an adequate theoretical basis for a systematic integration of institutional insights into the pragma-dialectical analysis of argumentative exchanges that occur in institutionalised contexts. The argumentative practice of Prime Minister’s Question Time in the British House of Commons is examined, as a case in point, in order to illustrate how the knowledge of the characteristics of an institution, its rules and conventions can be integrated into the pragma-dialectical analysis. The paper highlights the role that theoretical concepts and tools such as strategic manoeuvring, argumentative activity types and dialectical profiles play in this integration.

Probabilistic Justification and the Regress Problem

We discuss two objections that foundationalists have raised against infinite chains of probabilistic justification. We demonstrate that neither of the objections can be maintained. Presented by Hannes Leitgeb     

The Assumption of Proportional Components when Candecomp is Applied to Symmetric Matrices in the Context of Indscal

The use of Candecomp to fit scalar products in the context of INDSCAL is based on the assumption that the symmetry of the data matrices involved causes the component matrices to be equal when Candecomp converges. Ten Berge and Kiers gave examples where this assumption is violated for Gramian data matrices. These examples are believed to be local minima. It is now shown that, in the single-component case, the assumption can only be violated at saddle points. Chances of Candecomp converging to a saddle point are small but still nonzero.     

Variance Estimation of Nominal-Scale Inter-Rater Reliability with Random Selection of Raters

Most inter-rater reliability studies using nominal scales suggest the existence of two populations of inference: the population of subjects (collection of objects or persons to be rated) and that of raters. Consequently, the sampling variance of the inter-rater reliability coefficient can be seen as a result of the combined effect of the sampling of subjects and raters. However, all inter-rater reliability variance estimators proposed in the literature only account for the subject sampling variability, ignoring the extra sampling variance due to the sampling of raters, even though the latter may be the biggest of the variance components. Such variance estimators make statistical inference possible only to the subject universe. This paper proposes variance estimators that will make it possible to infer to both universes of subjects and raters. The consistency of these variance estimators is proved as well as their validity for confidence interval construction. These results are applicable only to fully crossed designs where each rater must rate each subject. A small Monte Carlo simulation study is presented to demonstrate the accuracy of large-sample approximations on reasonably small samples.