Thanking the World: Exploring Gender-Based Differences in Acknowledgment Patterns and Support Systems in Theses

dc.contributor.authorLamba, Manika
dc.contributor.authorErz, Hendrik
dc.date.accessioned2026-09-21T18:24:14Z
dc.date.issued2024-12-31
dc.description.abstractResearch on acknowledgment sections of scientific papers has gained significant attention, but there remains a dearth of studies examining acknowledgments in the context of Electronic Theses and Dissertations (ETDs). This paper addresses this gap by investigating the sources of support for male and female researchers in completing their master's or doctoral theses, focusing on the discipline of Library and Information Science (LIS). We utilize a novel method of extracting the various types of support systems that are acknowledged in 1252 ETDs using BERT models. The most prominent forms of support acknowledged by researchers are academic, moral, financial, and religious support. While there were no significant gender-based differences in religious and financial support, the ratio of academic to moral support acknowledged by researchers showed strong gender-based variation. Additionally, advisors displayed a preference for supervising same-gender researchers. By comprehending the nuances of support systems and the unique challenges faced by researchers of different genders, we can foster a more inclusive and supportive academic environment. The insights gained from this research have implications for improving mentoring practices and promoting gender equality in academia.
dc.description.notes© 2025 The Authors. Published by Elsevier Ltd on behalf of School of Information Management Wuhan University.
dc.description.peerreviewYes
dc.identifier.citationManika Lamba, Hendrik Erz, Thanking the World: Exploring gender-based differences in acknowledgment patterns and support systems in theses, Data and Information Management, Volume 9, Issue 3, 2025, 100092, ISSN 2543-9251, https://doi.org/10.1016/j.dim.2024.100092.
dc.identifier.doi10.1016/j.dim.2024.100092
dc.identifier.urihttps://shareok.org/handle/11244/342984
dc.languageen_US
dc.publisherElsevier
dc.relation.ispartofData and Information Management
dc.relation.ispartofseries9(3)
dc.relation.urihttps://www.sciencedirect.com/science/article/pii/S2543925124000287
dc.rightsAttribution 4.0 International
dc.subjectNatural language Processing (NLP)
dc.subjectElectronic theses and dissertations (ETDs)
dc.subjectLarge language models (LLMs)
dc.subjectOptical character recognition (OCR)
dc.subjectText as data
dc.titleThanking the World: Exploring Gender-Based Differences in Acknowledgment Patterns and Support Systems in Theses
dc.typeArticle
ou.groupCollege of Arts and Sciences::School of Library and Information Studies

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
1-s2.0-S2543925124000287-main.pdf
Size:
1.67 MB
Format:
Adobe Portable Document Format