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Record W2411213226 · doi:10.1111/apv.12111

Diaoyu Dao, Diaoyutai or Senkaku? Creative solutions to a festering dispute in the East China Sea from an ‘Island Studies’ perspective

2016· article· en· W2411213226 on OpenAlexafffund
Godfrey Baldacchino

Bibliographic record

VenueAsia Pacific Viewpoint · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsUniversity of Prince Edward Island
FundersUniversity of the RyukyusUniversità ta' MaltaTsinghua UniversityQueen's UniversityQueen's University BelfastKagoshima University
KeywordsSovereigntyChinaRhetoricTerritorial disputeAsideExploitOrder (exchange)Perspective (graphical)Political scienceDispute resolutionEconomyGeographyLawBusinessEconomics

Abstract

fetched live from OpenAlex

Abstract This paper draws on extensive island examples with a view to offer ‘creative’ solutions to the ongoing dispute over the Diaoyu/Diaoyutai/ Senkaku Islands between China (and Taiwan) and Japan in the East China Sea. In spite of the rhetoric and apparent intractability of island conflicts, there are various examples from the past (and the present) that suggest how island disputes may be decided, and in ‘win–win’ ways, to the satisfaction of the different parties involved. The resolution of island territorial problems can benefit greatly from a critical appreciation of how other small islands, also contested, have had their situation resolved in non‐zero‐sum ways. In such cases, sovereignty has been shared, split/divided or expunged; in other cases, sovereignty disputes have been put aside in order to co‐develop and co‐exploit natural resources. There is also one example of a UNESCO World Heritage Site consisting of a string of small islands and surrounding waters whose management is shared between three countries.

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)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.024
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.055
GPT teacher head0.349
Teacher spread0.294 · 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 designTheoretical or conceptual
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

Citations9
Published2016
Admission routes2
Has abstractyes

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