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Record W2288962539 · doi:10.1017/s0026749x03004086

Training Scholars not Politicians

2003· article· en· W2288962539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueModern Asian Studies · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAnnalsMarxist philosophyPoliticsChinaHeavenMeaning (existential)LiteratureSublimeHistoryPhilosophyMandateClassicsTheologyLawPolitical scienceArtEpistemology

Abstract

fetched live from OpenAlex

Conventional wisdom dictates that Chinese literati in the Qing dynasty (1644–1912), like their forerunners in previous dynasties, were politically active. Chinese Marxist historians tend to portray the Qing literati as politicians rather than scholars. Tang Zhiju, a China-based historian and the author of a book with an explicitly political title, Jindai Jingxue yu Zhengzhi (Modern Classical Learning and Politics), argues that the forefather of the Qing Evidential Research School, Gu Yanwu (1613–1682), used classical learning to maintain the Han people's national consciousness, and that the founders of the Gongyang New Text School, Zhuang Cunyu (1719–1788) and Liu Fenglu (1776–1829), applied the ‘sublime words with deep meaning’ in the Gongyang Chunqiu ( Gongyang Commentary on Spring and Autumn Annals) to justify the Manchu's tianming (mandate of heaven). In late Qing, Tang contends, the New Text scholars Kang Youwei (1858–1927) and Liang Qichao (1873–1929) studied the classics with the intention of political reform, while the Old Text scholar Zhang Taiyan (1869–1936) developed the tradition in Confucianism of jingshi (managing the world) for anti-Manchu revolution.

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.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.939
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.159
GPT teacher head0.368
Teacher spread0.209 · 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