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Record W3089166565 · doi:10.24043/isj.129

Island territorial disputes and China’s ‘Shelving Disputes and Pursuing Joint Development’ policy

2020· article· en· W3089166565 on OpenAlexvenueno aff
Yu Tao, Bingyao Li

Bibliographic record

VenueIsland Studies Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
FundersSoutheast UniversityGovernment of Jiangsu Province
KeywordsSovereigntyChinaPolitical scienceJoint (building)EconomyPolitical economyLawSociologyEconomicsEngineeringPolitics

Abstract

fetched live from OpenAlex

‘Shelving Disputes and Pursuing Joint Development’ (SDPJD) has for decades been China’s premier policy for resolving territorial disputes, especially those regarding islands. SDPJD is, however, commonly understood to be tripartite policy, in which ‘shelving disputes’ and ‘pursuing joint development’ are made conditional upon the principle of ‘sovereignty belongs to China’. Although SDPJD aims to peacefully settle China’s island territorial disputes in the East China Sea (Diaoyu Islands) and the South China Sea (Spratly Islands), the policy has not been particularly successful in practice. This is in part because, whereas ‘shelving disputes’ and ‘pursuing joint development’ are cooperative in nature, ‘sovereignty belongs to China’ is inherently confrontational. The prominence granted to ‘sovereignty belongs to China’ is linked to outmoded understanding of the concept of sovereignty and the tendency for Chinese scholars and officials to regard island territorial disputes as the zero-sum games. This paper argues that SDPJD’s success is dependent upon separating ‘sovereignty belongs to China’ from ‘shelving disputes’ and ‘pursuing joint development’ and perhaps abandoning the former principle entirely. China should pursue non-confrontation resolution to island territorial pursuits, especially in the contexts of efforts to develop a peaceful and cooperative 21st-Century Maritime Silk Road.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.600
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.041
GPT teacher head0.307
Teacher spread0.266 · 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 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

Citations4
Published2020
Admission routes1
Has abstractyes

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