A relatively unknown woman named Maria Theresa Short opened a popular observatory in 1835 in Ed inburgh - a time and place where men of science and property had long failed to make a viable space for astronomy. She exhibited scientific instruments to a general public, along with a great telescope and a walk-in camera obscura that projected live views of the city and continues to delight audiences to this day. To better understand Short's accomplishments, achieved as scientific and public (...) life became increasingly closed to women, this study explores her largely untold story, and maps some of the places of science around it. Finding local contingencies, multiple sites and practices by diverse groups, it proposes that tensions within the connections between science and spectacle and the use of popularization to promote its professionalization produced gaps that even a marginal figure like Maria Short could inhabit and exploit. (shrink)

Donkey sentences have existential and universal readings, but they are not often perceived as ambiguous. We extend the pragmatic theory of nonmaximality in plural definites by Križ (2016) to explain how context disambiguates donkey sentences. We propose that the denotations of such sentences produce truth-value gaps — in certain scenarios the sentences are neither true nor false — and demonstrate that Križ’s pragmatic theory fills these gaps to generate the standard judgments of the literature. Building on Muskens’s (1996) Compositional Discourse (...) Representation Theory and on ideas from supervaluation semantics, the semantic analysis defines a general schema for quantification that delivers the required truth-value gaps. Given the independently motivated pragmatic theory of Križ 2016, we argue that mixed readings of donkey sentences require neither plural information states, contra Brasoveanu 2008, 2010, nor error states, contra Champollion 2016, nor singular donkey pronouns with plural referents, contra Krifka 1996, Yoon 1996. We also show that the pragmatic account improves over alternatives like Kanazawa 1994 that attribute the readings of donkey sentences to the monotonicity properties of the embedding quantifier. (shrink)