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Record W647503147

Christian mission and education in modern China, Japan, and Korea : historical studies

2009· book· en· W647503147 on OpenAlexaboutno aff
Jan A.B. Jongeneel

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsChinaSecularizationEmpireChristian ministryPolitical scienceCommunismChristianityReligious studiesSociologyEconomic historyHistoryLawPhilosophyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Contents: Scott W. Sunquist: American Christian Mission and Education: Henry W. Luce, William R. Harper, and the Secularization of Christian Higher Education - Jan A. B. Jongeneel: Christian and Missionary Education in the Netherlands and in Indonesia as Challenge - Stuart Macdonald: Religion and Secularization in Canada: Education and the Impact on Mission - Peter Tze Ming Ng: From Cultural Imperialism to Cultural Exchange: Christian Higher Education in China Revisited - Jiafeng Liu: Religious Education in Christian Colleges in pre-Communist China: Challenges and Renovations - Yihua Xu: Birth, Growth, and Decline of the Chinese Student Volunteer Movement for the Ministry in 20th century China - Feiya Tao: Christian Colleges in China: New Relations and New Perspectives since the 1980s - Takaaki Haraguchi: David B. Schneder's Idea of Christian Education and its Implementation in Face of the Nationalistic Education in Modern Japan - Rui Kohiyama: Women's Education at Mission Schools and the Emergence of the Modern Family in Meiji Japan - Chae-ok Chun: Rediscovering Ewha Mission and its Contribution to Education - Sung-jeon Lee: Empire, Moral Superiority, and Mission Schools: The Establishment of Sungsil School and College in Early 20th Century Pyeongyang, Korea - Dong-min Chang: Crises and Prospects of Mission Schools in Contemporary Korea.

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)0.000
metaresearch head score (Gemma)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.299
Threshold uncertainty score0.551

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.029
GPT teacher head0.347
Teacher spread0.318 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2009
Admission routes1
Has abstractyes

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