Carry the One by Carol Anshaw

By Carol Anshaw

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Carry the One
starts within the hours following Carmen’s marriage ceremony reception, while a vehicle packed with stoned, inebriated, and sleepy visitors unintentionally hits and kills a woman on a depressing nation highway. For the following twenty-five years, these concerned, together with Carmen and her brother and sister, craft their lives based on this unmarried tragic second. As one personality says, “When you upload us up, you usually need to hold the one.” via friendships and amorous affairs; marriage and divorce; parenthood, vacation trips, and the modest calamities and triumphs of standard days, Carry the One exhibits how one existence impacts one other and the way those that thrive and people who self-destruct are toward one another than we’d count on. As they search redemption via habit, social justice, and artwork, Anshaw’s characters mirror our inner most soreness and longings, our joys, and our transcendent moments of figuring out. This clever, wry, and erotically charged novel derives its energy and charm from the author’s beautiful use of language; her sympathy for her recognizable, very mistaken characters; and her persuasive trust within the remodeling forces of time and love.

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Ahmadjian, V. (2000). ). New York: Oxford University Press. , & Gerstorf, D. (2009). Time structured and net intraindividual variability: Tools for examining the development of dynamic characteristics and processes. Psychology and Aging, 24, 778–791. 36 N. Ram et al. , & Nesselroade, J. R. (2007). Modeling intraindividual and intracontextual change: Operationalizing developmental contextualism. In T. D. Little, J. A. Bovaird, & N. A. ), Modeling contextual effects in longitudinal studies (pp.

While the differences in these dynamic characteristics are interesting in their own right (see Ram and Gerstorf 2009), our main interest here was in describing the dynamics of the family system. Thus, we set these differences aside by standardizing each time-series to a Mean = 0 and SD = 1. This removes the “distraction” of needing to interpret the usual “static” features of the time-series, keeps us focused on the dynamics, and allows for easy comparison of those dynamics across bursts and persons.

Pedersen, A. B. (2008). Dyadic models emerging from the longitudinal structural equation modeling tradition: Parallels with ecological models of interspecifc interactions. In N. A. Card, J. P. Selig, & T. D. ), Modeling dyadic and interdependent data in the developmental and behavioral sciences (pp. 87–105). New York: Routledge. Ramsay, J. , & Campbell, D. (2007). Parameter estimation in ordinary differential equations: A generalized smoothing approach. Journal of the Royal Statistical Society, 69, 741–796.

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