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Record W3015589388 · doi:10.22215/etd/2020-13937

The Muslims of China and the "Frontier Question" after Empire: Revisiting Ma Zhongying's 1931 Invasion of Republican Xinjiang

2020· dissertation· en· W3015589388 on OpenAlexaff
Paul Gosselin

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsCarleton University
Fundersnot available
KeywordsChinaEmpireFrontierDominionAncient historyState (computer science)PoliticsContext (archaeology)Modernization theoryHistoryPolitical scienceAbdicationGeographyLawArchaeology

Abstract

fetched live from OpenAlex

European travellers in republican Gansu sometimes remarked on how Chinese-speaking Muslim military authorities used campaigns against Mongol and Tibetan separatism as pretexts to justify their autonomy from Beijing. 10 However, historians have not attempted to incorporate these independent, Chinese Muslim-led expeditions within the larger story of how the Chinese republic largely retained the borders of the Qing in its northwest. The case of Chinese-speaking Muslims in Gansu and their interventions across Gansu's frontiers is particularly interesting, given the backdrop of Han-Muslim tensions in the late Qing and early republican periods, and contemporary debates in republican-era China over whether they constituted part of the same ethno-national group as the Han Chinese. Many historians of Islam in China such as Jonathan Lipman, Matsumoto Masumi, and Anthony Garnaut describe how identities and interests among Chinese Muslim communities increasingly favoured greater integration with the Chinese nation-state by the early 20 th century. 11 However, connections between these evolving Muslim identities and interests in republican China, and Muslim interventions into post-Qing borderlands remain under-researched. Addressing this gap, this paper investigates Chinese Muslim-led campaigns across Gansu's frontiers not only as a strategy of preserving local Muslim power and autonomy, but also as part of what Peter Zarrow termed a process of "translating" traditional imperial authority 9

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.778

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.289
Teacher spread0.278 · 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 designQualitative
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

Citations1
Published2020
Admission routes1
Has abstractyes

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