The emergence of plate tectonics and the Kuhnian model of paradigm shift: a bibliometric case study based on the Anna Karenina principle
Werner Marx () and
Lutz Bornmann ()
Additional contact information
Werner Marx: Max Planck Institute for Solid State Research
Scientometrics, 2013, vol. 94, issue 2, No 9, 595-614
Abstract:
Abstract How scientific progress functions in detail and what the specific prerequisites for scientific breakthroughs in a given research area are, is still unclear today. According to philosopher of science Thomas S. Kuhn, scientific advancement takes place via paradigm shift. As a principle supplementing Kuhn’s theory, we proposed the Anna Karenina principle: a new paradigm can be successful only when several key prerequisites are fulfilled (e.g., verified by means of independent data and methods). If any one of these prerequisites is not fulfilled, the paradigm will not be successful. Aiming at investigating the schema of paradigm shift supplemented by the Anna Karenina principle with the aid of concrete examples from science, in this study we analyze one of the most important scientific revolutions: the shift from a fixed to a mobile worldview in geoscientific thinking. This paradigm shift will be explained based on key papers that played a decisive role, selected carefully from reviews in the literature. The account of the development will be complemented by empirical findings that were produced based on publication and citation data using the software Histcite.
Keywords: Paradigms; Scientific revolutions; Plate tectonics; Bibliometrics; Anna Karenina principle (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-012-0741-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:94:y:2013:i:2:d:10.1007_s11192-012-0741-6
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-012-0741-6
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().