The Educational and Cultural Value of Jiangjia Quan: A Study on Its Historical Transmission and Contemporary Relevance
Bibliographic record
Abstract
This study investigates the historical evolution, technical system, and contemporary significance of Jiangjia Quan, a traditional Chinese martial art. The research aims to: (1) explore the historical origins and development trajectory of Jiangjia Quan; (2) analyze its technical framework and master-apprentice transmission mechanism; and (3) examine its physical, cultural, and educational value in modern society. A qualitative methodology was employed, combining literature review, expert interviews, field investigations in regions such as Luohe (Henan Province), and logical analysis of collected data. The findings indicate that Jiangjia Quan is believed to have originated in the late Sui and early Tang dynasties, attributed to the folk martial artist Jiang Yong, and was gradually refined by his descendants. Due to strict inheritance customs—such as the “five no-transmissions” rule—the style has remained relatively obscure, now primarily preserved through the lineage of Sun Shuxiu. The transmission model, rooted in oral instruction and moral cultivation, exemplifies the traditional master-disciple system. In contemporary contexts, Jiangjia Quan demonstrates diverse value: it enhances physical fitness and coordination, serves self-defense and security functions, embodies aesthetic and performative qualities, and promotes moral education and cultural identity. The study highlights Jiangjia Quan as a living cultural heritage with enduring relevance in modern society.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".