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Record W4318776913 · doi:10.1017/s0026749x22000233

Free sea or territorial waters? The Sino-Japanese Xiongyue fishing dispute, 1906–1912

2023· article· en· W4318776913 on OpenAlexaff
Jiaying Shen

Bibliographic record

VenueModern Asian Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVictoryFishingMeiji periodPolitical scienceFishing industryGovernment (linguistics)ChinaInternational lawExclusive economic zoneEconomySettlement (finance)GeographyLawBusinessEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract Following victory in the Russo-Japanese War, the Meiji government sought to expand its maritime influence in Northeast Asia by developing pelagic fisheries in the newly acquired Kwantung leased territory, but it encountered immediate resistance from the Qing court, which had just embarked upon ambitious reform to strengthen maritime defence through the building of a national fishing industry. The dispute first emerged as a clash between Japanese and Chinese fishery protection companies on the seas adjacent to the Chinese city of Xiongyue. It then gave rise to a protracted Sino-Japanese legal debate on the question of whether the Xiongyue fishing ground was in the free sea or part of Chinese territorial waters. However, the 1912 settlement agreement made no mention of the legal status of the fishing ground. By examining this oft-neglected dispute, this article not only provides a rare East Asian case that illustrates the tension between the requirements of national sea borders and the principle of navigational freedom, but also explores how the Meiji and Qing governments perceived and practised international maritime law at the turn of the twentieth century. It argues that neither government viewed international maritime law as the only referential framework to solve the dispute, especially when it contributed little to the conflict settlement and contradicted their perceptions of the historical relations between East Asian 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 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 score0.764
Threshold uncertainty score0.999

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.329
Teacher spread0.257 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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