Genericity and (Non)accidentalness

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This paper attempts to clarify nature of the "law-likness" or "nonaccidentalness" that generic sentences are usually claimed to express. It does so by examining the interactions of such generic sentences with a construction which seems to express "accidentalness," namely the happens to construction (as in John happens not to see well). In particular, it turns out that generics with bare plural subjects (BP generics, like Dogs have four legs), but not generics with indefinite singular subjects (IS generics, like A dog has four legs) are compatible with this construction (compare Dogs happen to have four legs vs #A dog happens to have four legs). I analyze happens to as a domain vague necessity operator, i.e. a universal quantifier over worlds, whose restriction (the domain of worlds quantified over) is systematically vague. Following Greenberg (2003, 2008) I propose that a number of distributional and interpretational differences between IS and BP generics can be attributed to the fact that although both have the same basic modal quantificational semantic structure the restriction over worlds is necessarily precise in the former kind of generics but is allowed to be vague in the latter. The compatibility of BP generics with happens to is thus analyzed as a case of modal concord.

Original languageEnglish
Title of host publicationNew Perspectives on Genericity at the Interfaces
PublisherPresses Universitaires de Vincennes
Pages163-190
Number of pages28
ISBN (Print)9782842923501
DOIs
StatePublished - 2012

Publication series

NameRecherches Linguistiques de Vincennes
Volume41
ISSN (Print)0986-6124
ISSN (Electronic)1958-9239

Keywords

  • Bare plural
  • Genericity
  • Happens to
  • Indefinite singular
  • Modality
  • Nonaccidentalness
  • Vagueness

Fingerprint

Dive into the research topics of 'Genericity and (Non)accidentalness'. Together they form a unique fingerprint.

Cite this