Scientific Information Research
Keywords
traditional family values, ancestral couplets, transfer learning, data enhancement
Abstract
[Purpose/significance] This research conducts in-depth exploration and knowledge discovery of ancestral hall couplets, a critical carrier of traditional family ethics, to facilitate their adaptive inheritance in contemporary society while introducing innovative perspectives and methodologies to the field.
[Method/process] We constructed a hierarchical classification system for traditional family values by synthesizing academic consensus, then developed the Annotation Keyword Data Enhancement(AK-DA-SKB-TC) model using idiomatic allusions with annotated keywords as source data and couplets as target data. Leveraging transfer learning, we achieved automated family tradition classification for couplets, followed by rigorous reliability validation. Multi-dimensional analysis of classification results uncovered evolutionary patterns and contextual determinants.
[Result/conclusion] Empirical validation demonstrated the AK-DA-SKB-TC model's efficacy with 0.81 overall accuracy, revealing dynamic trajectories of family tradition evolution, inter-familial variations, and influential factors through integrated macro-micro analysis. This systematic investigation into traditional family ethics through couplets provides a scientific foundation for their adaptive modernization, contributing to the advancement of family education, social morality, and holistic societal development.
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.03.011
Recommended Citation
CHEN, Qiaoling; WANG, Hao; and LI, Xiaomin
(2025)
"Research on Traditional Family Values Incorporating Data Enhance⁃
ment and Transfer Learning,"
Scientific Information Research: Vol. 7:
Iss.
3, Article 11.
DOI: 10.19809/j.cnki.kjqbyj.2025.03.011
Available at:
https://eng.kjqbyj.com/journal/vol7/iss3/11
Included in
Behavior and Behavior Mechanisms Commons, Digital Humanities Commons, Scholarly Communication Commons