Towards a Taxonomy of the Model-Ladenness of Data.
Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are data-laden and data are model-laden. In this article I elaborate and defend the second, more controversial, component of the symbiosis view and construct...
| Published in: | Philosophy of Science Vol. 87; no. 5; pp. 793 - 807 |
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| Format: | Article |
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Cambridge University Press
Dec2020
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=147626945&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 147626945 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2020 vid: 87 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 147626945 10.1086/710516 ppf: 793 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 473KB tig: atl: Towards a Taxonomy of the Model-Ladenness of Data. aug: au: Bokulich, Alisa su: Taxonomy Symbiosis Data modeling Simulation methods & models Geology sug: subj: Taxonomy Symbiosis Data modeling Simulation methods & models Geology ab: Model-data symbiosis is the view that there is an interdependent and mutually beneficial relationship between data and models, whereby models are data-laden and data are model-laden. In this article I elaborate and defend the second, more controversial, component of the symbiosis view and construct a taxonomy of the different ways in which theoretical and simulation models are used in the production of data sets. Each is defined and briefly illustrated with an example from the geosciences. I argue that model-filtered data are typically more accurate and reliable than so-called raw data and, hence, beneficially serve the epistemic aims of science. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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