Data Fabrication and Falsification and Empiricist Philosophy of Science.
Scientists have rules pertaining to data fabrication and falsification that are enforced with significant punishments, such as loss of funding, termination of employment, or imprisonment. These rules pertain to data that describe observable and unobservable entities. In this commentary I argue that...
| Publicado en: | Science & Engineering Ethics Vol. 20; no. 2; pp. 423 - 432 |
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| Formato: | Artículo |
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Springer Nature
Jun2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=96202217&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 96202217 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 13533452 GNI jtl: Science & Engineering Ethics issn: 13533452 maglogo: N pubinfo: dt: Jun2014 vid: 20 iid: 2 pid: 237 pub: Springer Nature artinfo: ui: 96202217 10.1007/s11948-013-9466-z ppf: 423 ppct: 9 formats: fmt: @attributes: type: P size: 141KB tig: atl: Data Fabrication and Falsification and Empiricist Philosophy of Science. aug: au: Resnik, David affil: NIEHS/NIH, 111 Alexander Drive, Mail Drop CU 03 Research Triangle Park 27709 USA su: Falsification of data Empiricism Realism Van Fraassen, Bas C., 1941- Philosophy of science Research sug: subj: Falsification of data Empiricism Realism Van Fraassen, Bas C., 1941- Philosophy of science Research keyword: Data fabrication and falsification Ethics Observation/theory distinction Scientific practice ab: Scientists have rules pertaining to data fabrication and falsification that are enforced with significant punishments, such as loss of funding, termination of employment, or imprisonment. These rules pertain to data that describe observable and unobservable entities. In this commentary I argue that scientists would not adopt rules that impose harsh penalties on researchers for data fabrication or falsification unless they believed that an aim of scientific research is to develop true theories and hypotheses about entities that exist, including unobservable ones. This argument presents a challenge for constructive empiricists, such as van Fraassen. Constructive empiricists need to be able to explain why rules pertaining to data fabrication and falsification do not threaten their philosophy of science. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Science & Engineering Ethics is a copyright of Springer, 2014. All Rights Reserved. item: Science & Engineering Ethics holder: Springer Nature dt: @attributes: year: 2014 holdings: @attributes: islocal: N |
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