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I will make myself available in Zoom from 12:10-2:00pm EDT on March 21st (Poster Session C). Please join and chat with me! Activations of lexical items driven by contexts are often measured by the cloze task, but the mapping between the cloze measures and the underlying activation is yet to be known. Based on the existing Race model proposed by Staub et al. (2015), this study run simulations to find the properties of mental representations that explains the experimental data in Staub et al. well. Our simulations and additional analyses of the cloze data show that less predicted items have more variability in the speed of activation (strictly speaking, latencies for their activations to reach the threshold). Combined with a property of the Race model, this finding suggests that low cloze items are even less predicted than it might seem from the cloze data. [1]: https://umd.zoom.us/j/4066830044
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