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Measuring Paradigmaticness of Disciplines Using Text

By on August 31, 2016 in Articles

Eliza D. Evans, Charles J. Gomez, Daniel A. McFarland

Sociological Science, August 31, 2016
DOI 10.15195/v3.a32

Abstract
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In this paper, we describe new methods that use the text of publications to measure the paradigmaticness of disciplines. Drawing on the text of published articles in the Web of Science, we build samples of disciplinary discourse. Using these language samples, we measure the two core concepts of paradigmaticness—consensus and rapid discovery (Collins 1994)—and show the relative positioning of eight example disciplines on each of these measures. Our measures show consistent differences between the “hard” sciences and “soft” social sciences. Deviations in the expected ranking of disciplines within the sciences and social sciences suggest new interpretations of the hierarchy of disciplines, directions for future research, and further insight into the developments in disciplinary structure and discourse that shape paradigmaticness.

Creative Commons LicenseThis work is licensed under a Creative Commons Attribution 4.0 International License.

Eliza D. Evans*: Graduate School of Education, Stanford University
Email: elizae@stanford.edu

Charles J. Gomez*: Graduate School of Education, Stanford University
Email: cjgomez@stanford.edu

Daniel A. McFarland: Graduate School of Education, Stanford University
Email: dmcfarla@stanford.edu

Acknowledgements: This project has been generously funded by the Brown Magic Grant, Dean of Research at Stanford University, and NSF Award #0835614. This material is based upon work supported by the NSF Graduate Research Fellowship Program (No. DGE-114747). Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the NSF. This work was also supported by the Stanford Graduate Fellowship Program and by a generous grant from the Global Development and Poverty (GDP) exploratory project, sponsored by the Stanford Institute for Innovation in Developing Economies (SEED) and the Freeman Spogli Institute for International Studies. These data were collected by the Mimir Project conducted at Stanford University by Daniel McFarland, Dan Jurafsky, and Jure Leskovec. Access to these data was approved by the Mimir Project, and usage followed IRB guidelines.

* Co-first authors and corresponding authors

Supplemental Material

  • Citation: Evans, Eliza D., Charles J. Gomez and Daniel A. McFarland. 2016. “Measuring Paradigmaticness of Disciplines Using Text.” Sociological Science 3: 757-778.
  • Received: March 4, 2016
  • Accepted: April 19, 2016
  • Editors: Gabriel Rossman
  • DOI: 10.15195/v3.a32


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