2015
DOI: 10.21237/c7clio6127917
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Seshat: The Global History Databank

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Cited by 93 publications
(127 citation statements)
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“…In the coming years, more quantitative phylogenies for the major language families will be published, and the number and richness of comparative cultural databases will undoubtedly grow (7,92 In the analysis, 4,200 of the most likely possible trees were used, and the consensus tree is a summary of these trees for illustrative purposes. The gray at each of the internal nodes represents the proportion of trees sampled without this node and provides an indication of phylogenetic uncertainty.…”
Section: Resultsmentioning
confidence: 99%
“…In the coming years, more quantitative phylogenies for the major language families will be published, and the number and richness of comparative cultural databases will undoubtedly grow (7,92 In the analysis, 4,200 of the most likely possible trees were used, and the consensus tree is a summary of these trees for illustrative purposes. The gray at each of the internal nodes represents the proportion of trees sampled without this node and provides an indication of phylogenetic uncertainty.…”
Section: Resultsmentioning
confidence: 99%
“…One model is provided by Seshat, which is attempting to use historical and archaeological data from 30 specific locations to examine cultural stability and change over long periods of time (Turchin et al 2015). This is a model that has already been used in archaeology and history, and by combining the two Seshat will provide an extremely useful resource for the study of cultural evolution.…”
Section: University Of Connecticut Corresponding Author's Email: Xygamentioning
confidence: 99%
“…The challenges identified in this paper come from the author's experiences developing semantic data quality tools (Feeney, 2014, Feeney, 2017 and applying them to large, international data collection efforts like large, international social science datasets , Turchin, 2015 or major linked data hubs (Meehan, 2016). Interactions with dataset stakeholders over a number of years have suggested that despite the advantages of semantic data quality approaches, e.g.…”
Section: Background Experiences and Related Workmentioning
confidence: 99%