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Record W4308705435 · doi:10.1017/9781108226875.034

China and the Pacific since 1949

2022· book-chapter· en· W4308705435 on OpenAlexaff
Fei Sheng, Paul D’Arcy

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChinaSovereigntyGeographyPolitical scienceEconomyDiplomacyPopulationSolidarityDevelopment economicsPoliticsSociologyEconomics

Abstract

fetched live from OpenAlex

This chapter outlines the evolution of the People’s Republic of China’s (China) interactions with the Pacific Ocean since its formation in 1949. China inherited a long history of engagement with Pacific oceanic environments and other nations that inhabit its shores. After briefly outlining the post-war legacy of these interactions through maritime trade, fishing, diplomacy, and migration, the chapter details the history of China in the Pacific since 1949. It is a story of two distinct eras. Until 1978, China focused inwards to repair and restructure a nation torn apart by war, disunity, and neglect of the majority of the population. Its Pacific interactions focused largely on defending its sovereign waters and harvesting its coastal fishery, while its diplomatic stance further afield espoused solidarity for the decolonization and sovereignty of fellow developing nations. From 1978, China increasingly focused on economic reform, involving greater engagement with the overseas economy as it rapidly rose to become a global powerhouse of manufacturing. Two engagements with the Pacific are explored for this period. The first is China’s engagement with the Pacific Ocean as an environmental space, and especially a fishery and sea lane resource. The second is the expansion of China’s diplomatic and strategic engagement with the wider Pacific community from the 1970s. The final section looks at present and future engagements with Pacific Island nations in particular, as the nations that are under the most immediate threat of climate change damage. China has competitive advantages in skills and technologies vital to its Pacific allies and a long history of productive partnerships with them.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.088
Threshold uncertainty score0.174

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.015
GPT teacher head0.198
Teacher spread0.183 · 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 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

Citations0
Published2022
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicIsland Studies and Pacific AffairsFrench-language works237,207