Slurs have been standardly assumed to bear a very direct, very distinctive semantic relationship to what philosophers have called “neutral counterpart” terms. I argue that this is mistaken: the general relationship between paradigmatic slurs and their “neutral counterparts” should be assumed to be the same one that obtains between ‘chick flick’ and ‘romantic comedy’, as well a huge number of other more prosaic pairs of derogatory and “less derogatory” expressions. The most plausible general relationship between these latter expressions — and (...) thus, I argue, between paradigmatic slurs and “neutral counterpart” terms — is one of overlap in presumed extension, grounded in overlap in associated stereotypes. The resulting framework has the advantages of being simple, unified, and, unlike its orthodox rivals, neatly accommodating of a much wider range of data than has previously been considered. More importantly, it positions us to better understand, identify, and confront the insidious mechanisms of ordinary bigotry. (shrink)

In this paper, we will report results of two sets of cross-linguistic studies about truth judgments and correctness judgments by speakers of English and Japanese, which will show a significant influence of a moral-political factor in an utterance on Japanese truth/correctness judgments. Following up Mizumoto (2022), which demonstrated such an effect on Japanese truth judgments and correctness judgments about utterances containing a contrastive conjunction (such as “but”), Study 1 shows the same effect on Japanese correctness judgments about utterances containing a (...) pejorative. Study 2 then shows that a moral-political factor in utterances can affect Japanese truth/correctness judgments about them even if they are simple utterances containing neither a contrastive conjunction nor a pejorative. In conclusion, we will briefly discuss whether this effect is linguistic or psychological, and present three hypotheses: the semantic hypothesis, pragmatic hypothesis, and error theory hypothesis, to account for the data, which we leave open for future studies. (shrink)