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Record W1987872759 · doi:10.1093/irap/lcs002

China's rise and middle power democracies: Canada and Australia compared

2012· article· en· W1987872759 on OpenAlexaffabout
James Manicom, Andrew O’Neil

Bibliographic record

VenueInternational Relations of the Asia-Pacific · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations and Foreign Policy
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsChinaMiddle powerPower (physics)Political scienceEconomic historyAncient historyHistoryPoliticsForeign policyLaw

Abstract

fetched live from OpenAlex

Assessments of how international actors are responding to China's rise typically focus on rival great powers or on China's Asian neighbors. In these cases, relative power, geographic proximity, and regional institutions have conditioned relationships with China. The relationship of China with the developing world has mainly been defined by power asymmetry and the appeal of the Chinese governance model to authoritarian regimes. Largely absent from this discussion is an understanding of how Western middle power democracies are responding to China's rise. This article compares how Canada and Australia – two Western democratic states with prominent middle power foreign policy traditions – are responding to the rise of China. The two case studies are similar in many respects: both are resource-based economies with a track record of bilateral and institutional engagement in the Asia-Pacific, and both are key US allies. These similarities allow differences in the Canadian and Australian responses to China's rise to be isolated in the political, economic, and strategic realms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.557

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0110.004
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.294
Teacher spread0.271 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations47
Published2012
Admission routes2
Has abstractyes

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