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David A. Snow

Researcher at University of California, Irvine

Publications -  117
Citations -  26509

David A. Snow is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Social movement & Framing (social sciences). The author has an hindex of 45, co-authored 113 publications receiving 24841 citations. Previous affiliations of David A. Snow include University of Texas at Austin & University of Arizona.

Papers
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A prominence account of syllable reduction in early speech development: the child's prosodic phonology of tiger and giraffe.

TL;DR: The results show that the prominence scale parsimoniously accounts not only for the bias toward syllable omissions in nontrochaic environments but also explains other types of syllable reduction not captured by metrical theories.
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Imitation of intonation contours by children with normal and disordered language development

TL;DR: This paper investigated the relation between intonation and segmental phonology in children with developmental language impairment (LI) and found that the severity of a child's articulation disorder predicted how well he or she produced segmental contrastsA but not prosodic contrasts.
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Processus de cadrage et mouvements sociaux : présentation et bilan

TL;DR: In this paper, a recent multiplication of travaux academiques sur les cadres de l’action collective and sur les processus de cadrage lies aux mouvements sociaux permet de constater que ces processus sont desormais consideres.
Book

Readings on social movements : origins, dynamics and outcomes

Doug McAdam, +1 more
TL;DR: Readings on Social Movements: Origins, Dynamics, and Outcomes, Second Edition as mentioned in this paper is a comprehensive and timely collection of the most salient research and articles available on the subject.
Journal ArticleDOI

Explaining the Puzzle of Homeless Mobilization: An Examination of Differential Participation:

TL;DR: In this article, the authors examine participation in protests about homelessness by an unlikely set of participants, i.e., the homeless themselves, through an analysis of data derived from 400 structured...