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Record W4410028985 · doi:10.5206/mirror.v45i1.21110

Restoring 'Zhongguo' and Traditional Chinese Culture

2025· article· en· W4410028985 on OpenAlexaffvenue

Bibliographic record

VenueThe Mirror - Undergraduate History Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsTrent University
Fundersnot available
KeywordsChinaHistoryArchaeology

Abstract

fetched live from OpenAlex

After the turbulent transition from the Yuan dynasty to Ming dynasty, the Ming emperor Yong-le attempted the revitalization of traditional Chinese values that were lost during the prior period of non-Chinese/Mongol leadership. This attempt at the restoration of traditional Chinese worldviews was a way for the new Ming dynasty to combat previous political chaos and establish/strengthen the rule of the Ming empire as a traditionally Chinese empire. Important in this restoration is Yong-le's focus on zhongguo (China as the Middle Kingdom), and the undertaking of the Zheng-He voyages. This paper, using secondary sources, provides an overview of medieval Chinese cultural values (i.e., zhongguo, Confucianism), and a brief history of the Yuan and Ming dynasties - as well as Yong-le's rule. Once this socio-political and historical background is established, the paper then introduces the Zheng-He voyages and the primary source of Ma Huan's Ying-Yai Sheng-Lan, arguing (using both primary and secondary scholarship) that Ma Huan's records of the Zheng-He voyages directly reflects the concept of zhongguo - as well as works to bolster Yong-le's revitalization project. Ma Huan's writings were not simply documentation of the voyages he undertook, but rather served Yong-le's larger, politically propagandistic mission to restore zhongguo and Chinese suzerainty throughout the borderlands. It is important to understand this aspect of Chinese maritime history, as it demonstrates that late-Medieval Chinese explorations went beyond materialistic goals, and actually had significant cultural and political ramifications within the empire.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.690
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.051
GPT teacher head0.295
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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