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Record W4383876345 · doi:10.1080/00309230.2023.2231363

When intellectuals educate: history and geography in the educational project for Chinese workers in France during World War One, 1916–1918

2023· article· en· W4383876345 on OpenAlex
Yotam Ronen

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

VenuePaedagogica Historica · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMainland ChinaContext (archaeology)ChinaSociologyMainlandSocial sciencePedagogyHistoryPolitical scienceLaw

Abstract

fetched live from OpenAlex

Between 1916 and 1918, a group of Chinese intellectuals opened a school in Paris for Chinese workers who came to Europe in aid of the Allied cause. One of them, Cai Yuanpei, created a textbook based on lectures he gave at the school, which included chapters on moral and intellectual topics. This article focuses on two of these chapters – History and Geography – and situates them within the context of Chinese modern history, curricular and pedagogical debates in mainland China, and the history of textbook publication at the time. In doing so, I argue that Cai Yuanpei utilised these chapters to instil critical thinking skills among workers in a pedagogical move that, while consistent with contemporary discussions on the goals of education, was nevertheless unique in the context of other contemporary approaches to education.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.718

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
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 head0.065
GPT teacher head0.325
Teacher spread0.260 · 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