Writing for non-specialists? Investigating readability and jargon use in successful lay summaries of CRF grant proposals 2006–2024
Yueyue Huang (),
Keru Li () and
Dechao Li ()
Additional contact information
Yueyue Huang: Fujian Normal University, College of Foreign Languages
Keru Li: The Hong Kong Polytechnic University, Faculty of Humanities
Dechao Li: The Hong Kong Polytechnic University, Department of Language Science and Technology
Scientometrics, 2025, vol. 130, issue 11, No 16, 6305-6321
Abstract:
Abstract Grant proposal summaries are a high-stakes academic genre requiring significant marketing efforts to enhance accessibility for a diverse audience. However, research in this field remains scarce. This study addresses this gap by examining the readability and jargon use in lay summaries of Collaborative Research Fund (CRF) grant proposals administered by the University Grants Committee (UGC) in Hong Kong from 2006 to 2024. The findings reveal that, despite temporal fluctuations, these summaries generally align with senior-college to college-graduate reading levels. They also contain a high average jargon density of 8.0% per text, surpassing the recommended threshold for general readership. Notably, readability measures related to structural complexity show a significant upward trend, while lexical difficulty remains stable. Meanwhile, normed jargon use presents a non-significant but visually noticeable upward trend over time. These temporal patterns suggest that these lay summaries have become more challenging to read, mostly due to individually-varied but densely embedded specialised terms in longer and more complex sentences. The findings raise concerns about the accessibility of lay summaries for non-specialists, such as interdisciplinary researchers, science communicators, policymakers, and the general public. The study concludes with a discussion and suggestions on readability and jargon use in grant proposal summaries.
Keywords: Readability; Jargon; Lay summaries; Grant proposal writing; Diachronic study (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s11192-025-05442-8 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:130:y:2025:i:11:d:10.1007_s11192-025-05442-8
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-025-05442-8
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 ().