This paper deals with two issues. First, it identifies structured propositions with logical procedures. Second, it considers various rigorous definitions of the granularity of procedures, hence also of structured propositions, and comes out in favour of one of them. As for the first point, structured propositions are explicated as algorithmically structured procedures. I show that these procedures are structured wholes that are assigned to expressions as their meanings, and their constituents are sub-procedures occurring in executed mode (as opposed to displayed mode). Moreover, procedures are not mere aggregates of their parts; rather, procedural constituents mutually interact. As for the second point, there is no universal criterion of the structural isomorphism of meanings, hence of co-hyperintensionality, hence of synonymy for every kind of language. The positive result I present is an ordered set of rigorously defined criteria of fine-grained individuation in terms of the structure of procedures. Hence procedural semantics provides a solution to the problem of the granularity of co-hyperintensionality.
Names can play an important role in forming first impressions. While much of the literature has demonstrated how alphabet-based names influence impression formation, little is known about how character-based names (e.g., Chinese names) affect interpersonal trust. Across six studies, we demonstrated that a difficult-to-recognise Chinese name with less frequently used characters activated masculine perception, which in turn decreased trust in the name holder. The masculine inferences from difficult names were replicated across within-subjects (Study 1a and 1b) and between-subjects judgements and maintained irrespective of normative knowledge about difficult names as male names (Study 1c). The mediation of gender stereotypicality was manifested in both measured spontaneous gender inference (Study 2a and Study 2b) and manipulated gender information (Study 2c). The effects of recognisability on masculine and trust perceptions were independent of pronunciationability (Study 2b). This research extends previous research by revealing the implications of character-based names and pictographic language on the feeling-as-information theory, also in terms of interpersonal contexts. 相似文献
AbstractInference of variance components in linear mixed modeling (LMM) provides evidence of heterogeneity between individuals or clusters. When only nonnegative variances are allowed, there is a boundary (i.e., 0) in the variances’ parameter space, and regular inference statistical procedures for such a parameter could be problematic. The goal of this article is to introduce a practically feasible permutation method to make inferences about variance components while considering the boundary issue in LMM. The permutation tests with different settings (i.e., constrained vs. unconstrained estimation, specific vs. generalized test, different ways of calculating p values, and different ways of permutation) were examined with both normal data and non-normal data. In addition, the permutation tests were compared to likelihood ratio (LR) tests with a mixture of chi-squared distributions as the reference distribution. We found that the unconstrained permutation test with the one-sided p-value approach performed better than the other permutation tests and is a useful alternative when the LR tests are not applicable. An R function is provided to facilitate the implementation of the permutation tests, and a real data example is used to illustrate the application. We hope our results will help researchers choose appropriate tests when testing variance components in LMM. 相似文献