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Record W2227987137

Unlocking Australia's Chinese archives of the inter-war period

2013· other· en· W2227987137 on OpenAlexaboutno aff
Mei-fen Kuo

Bibliographic record

VenueSwinburne Research Bank (Swinburne University of Technology) · 2013
Typeother
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsPeriod (music)HistoryAncient historyPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

In this paper I will discuss my research on Chinese community politics and Australia's early 20th-century immigration restriction policy. First, I will introduce my project which uses the newly discovered archives of the first Chinese Consulate in Australia and the archives of the Sydney and Melbourne branches of the Chinese Nationalist Party of Australasia (KMT). These archives add community perspectives and enhance our understanding of Chinese Australian history. Second, I will discuss how community archives portray Chinese Australian transnational networks under White Australia. The travels of Chinese merchants, journalists and students in the Pacific were not only connected to commercial interests but also to educational and publishing interests. The connections of Chinese intellectuals between Sydney, Shanghai, Tokyo, Hawaii, San Francisco and Vancouver were also reflected in Chinese Australian newspapers, national archives and community archives. Third, I will use the archives to discuss how Australia's Chinese immigration restriction influenced community politics. After 1912, five classes of Chinese were allowed to apply to enter Australia. A first wave of Chinese students arrived during the 1910s and 1920s, encouraged by a new immigration regulation. The new administration also empowered the Chinese Consulate to issue and identify the applications of Chinese applying to come to Australia. It thus restructured the community leadership. The transnational mobility of Chinese Australians after the 1920s was sustained with documentation of migration related to social networks, their relationship with Chinese consuls and financial sponsorship of local Chinese merchants.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
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 score0.221
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.011
Scholarly communication0.0000.000
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.039
GPT teacher head0.321
Teacher spread0.282 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

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