Show simple item record

dc.contributor.authorGjesfjeld, Erik
dc.contributor.authorSilvestro, Daniele
dc.contributor.authorChang, Jonathan
dc.contributor.authorKoch, Bernard
dc.contributor.authorFoster, Jacob G.
dc.contributor.authorAlfaro, Michael E.
dc.date.accessioned2020-02-07T02:10:56Z
dc.date.available2020-02-07T02:10:56Z
dc.date.issued2020-02-06
dc.date.submitted2019-09-13
dc.identifier.otherpone-d-19-25807
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/301811
dc.description.abstractQuestions about the evolution of material culture are widespread in the humanities and social sciences. Statistical modeling of long-term changes in material culture is less common due to a lack of appropriate frameworks. Our goal is to close this gap and provide robust statistical methods for examining changes in the diversity of material culture. We provide an open-source and quantitative workflow for estimating rates of origination, extinction, and preservation, as well as identifying key shift points in the diversification histories of material culture. We demonstrate our approach using two distinct kinds of data: age ranges for the production of American car models, and radiocarbon dates associated with archaeological cultures of the European Neolithic. Our approach improves on existing frameworks by disentangling the relative contributions of origination and extinction to diversification. Our method also permits rigorous statistical testing of competing hypotheses to explain changes in diversity. Finally, we stress the value of a flexible approach that can be applied to data in various forms; this flexibility allows scholars to explore commonalities between forms of material culture and ask questions about the general properties of cultural change.
dc.languageen
dc.publisherPublic Library of Science
dc.rightsAttribution 4.0 International (CC BY 4.0)en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectResearch Article
dc.subjectSocial sciences
dc.subjectEarth sciences
dc.subjectBiology and life sciences
dc.subjectResearch and analysis methods
dc.titleA quantitative workflow for modeling diversification in material culture
dc.typeArticle
dc.date.updated2020-02-07T02:10:55Z
prism.issueIdentifier2
prism.publicationNamePLOS ONE
prism.volume15
dc.identifier.doi10.17863/CAM.48880
dcterms.dateAccepted2019-12-20
rioxxterms.versionofrecord10.1371/journal.pone.0227579
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
datacite.contributor.supervisoreditor: Biehl, Peter F.
dc.contributor.orcidGjesfjeld, Erik [0000-0003-1043-9810]
dc.identifier.eissn1932-6203


Files in this item

Thumbnail
Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International (CC BY 4.0)
Except where otherwise noted, this item's licence is described as Attribution 4.0 International (CC BY 4.0)