Eliza Evans
Biographic Data
| ID | 6917192 |
|---|---|
| NAME | Eliza Evans |
| GIVEN NAMES | Eliza |
| FAMILY NAME | Evans |
| SIGNATURE | EVANS E |
| AFFILIATIONS | Stanford University |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 8 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2016 |
| H-INDEX | 1 |
Measuring Paradigmaticness of Disciplines Using Text
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. Ou…
Measuring Paradigmaticness of Disciplines Using Text
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. Ou…
Measuring Paradigmaticness of Disciplines Using Text
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. Ou…
Complex Network Analysis Techniques (1 work) · Computational and Text Analysis Methods (1 work) · Computer Science (1 work) · Data mining (1 work) · Data science (1 work) · Discipline (1 work) · Epistemology (1 work) · Hard and soft science (1 work) · Hierarchy (1 work) · Information retrieval (1 work)