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Record W7061427336

Power and Identity in the Chinese World Order: Festschrift in Honour of Professor Wang Gungwu

2010· book· en· W7061427336 on OpenAlexaboutno aff

Bibliographic record

VenueThe HKU Scholars Hub (University of Hong Kong) · 2010
Typebook
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyHonourPower (physics)Identity (music)ChinaHistory of ChinaWorld historyPolitics
DOInot available

Abstract

fetched live from OpenAlex

Wang Gungwu is one of the most influential historians of his generation. Initially renowned for his pioneering work on the structure of power in early imperial China, he is more widely known for expanding the horizons of Chinese history to include the histories of the Chinese and their descendents outside China. It is probably no coincidence, Philip Kuhn observes, that the most comprehensive historian of the Overseas Chinese is the historian most firmly grounded in the history of China itself.
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\nThis book is a celebration of the life, work, and impact of Professor Wang Gungwu over the past four decades. It commemorates his contribution to the study of Chinese history and the abiding influence he has exercised over later generations of historians, particularly in the Asia-Pacific region. 
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\nThe book begins with an historiographical survey by Philip Kuhn (Francis Lee Higginson Professor of History at Harvard University) of Wang Gungwu's enduring contribution to scholarship. It concludes with an engaging oral history of Professor Wang's life, career, and research trajectory.
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\nThe intervening chapters explore many of the fields in which Wang Gungwu's influence has been felt over the years, including questions of political authority, national identity, commercial life, and the history of the diaspora from imperial times to the present day. Each of these chapters is authored by a former student of Professor Wang, now working and teaching in Hong Kong, Southeast Asia, Australasia, Taiwan and Canada.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.249
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0150.000

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 head0.006
GPT teacher head0.248
Teacher spread0.242 · 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 designObservational
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
Published2010
Admission routes1
Has abstractyes

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