Mapping knowledge. Topic analysis of science locates researchers in disciplinary landscape

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985955%3A_____%2F25%3A00601845" target="_blank" >RIV/67985955:_____/25:00601845 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1016/j.poetic.2024.101950" target="_blank" >https://doi.org/10.1016/j.poetic.2024.101950</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.poetic.2024.101950" target="_blank" >10.1016/j.poetic.2024.101950</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Mapping knowledge. Topic analysis of science locates researchers in disciplinary landscape

Popis výsledku v původním jazyce

The study presents a new approach for constructing an epistemological coordinate system that locates individual researchers within the disciplinary landscape of science. Drawing on a comprehensive national dataset of scientific outputs, we build a topic model based on a semantic network of publications and terms derived from textual content comprising titles, abstracts, and keywords. Compositional data transformation applied to the topic model enables a geometric analysis of topics across disciplines. The design yields four important results for addressing the gap between knowledge and knowledge-producers. (1) Hierarchical clustering confirms an alignment between traditional disciplinary classification and our empirical, bottom-up topic model. (2) Principal component analysis reveals three axes – Culture–Nature, Life–Non-life, and Materials–Methods – that primarily structure this scientific knowledge space. (3) The projection of individual researchers via their topic portfolios allows to locate them relationally on these three continuous measures of epistemological distinctions. (4) The robustness of our approach is validated by examining the links between researchers’ topic orientation and supplementary variables such as publication practices, gender, institutional affiliations, and funding sources. Our method could inform science policy and evaluation practices, as well as be extended to uncover associations between products and producers in other cultural fields.

Název v anglickém jazyce

Mapping knowledge. Topic analysis of science locates researchers in disciplinary landscape

Popis výsledku anglicky

The study presents a new approach for constructing an epistemological coordinate system that locates individual researchers within the disciplinary landscape of science. Drawing on a comprehensive national dataset of scientific outputs, we build a topic model based on a semantic network of publications and terms derived from textual content comprising titles, abstracts, and keywords. Compositional data transformation applied to the topic model enables a geometric analysis of topics across disciplines. The design yields four important results for addressing the gap between knowledge and knowledge-producers. (1) Hierarchical clustering confirms an alignment between traditional disciplinary classification and our empirical, bottom-up topic model. (2) Principal component analysis reveals three axes – Culture–Nature, Life–Non-life, and Materials–Methods – that primarily structure this scientific knowledge space. (3) The projection of individual researchers via their topic portfolios allows to locate them relationally on these three continuous measures of epistemological distinctions. (4) The robustness of our approach is validated by examining the links between researchers’ topic orientation and supplementary variables such as publication practices, gender, institutional affiliations, and funding sources. Our method could inform science policy and evaluation practices, as well as be extended to uncover associations between products and producers in other cultural fields.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50401 - Sociology

Projekt

<a href="/cs/project/GJ20-01752Y" target="_blank" >GJ20-01752Y: Grantový a negrantový výzkum v České republice: scientometrická analýza a modelování témat</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Poetics

ISSN

0304-422X

e-ISSN

1872-7514

Svazek periodika

—

Číslo periodika v rámci svazku

108

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

20

Strana od-do

101950

Kód UT WoS článku

001363761900001

EID výsledku v databázi Scopus

2-s2.0-85209595872