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Record W4220858720 · doi:10.1177/18681034221086291

What’s Really Going On in the South China Sea?

2022· article· en· W4220858720 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Current Southeast Asian Affairs · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsBalsillie School of International AffairsUniversity of Waterloo
Fundersnot available
KeywordsChinaNarrativeTribunalContext (archaeology)NoticeBureaucracySociologyPolitical scienceAppealNorm (philosophy)GuanxiInternational relationsLawPolitical economyPoliticsHistory

Abstract

fetched live from OpenAlex

Most analysts and commentators portray China's conduct in the South China Sea as a series of aggressive norm violations by an emerging peer competitor to the United States. We argue that this narrative misreads both the substance and dynamics of recent Chinese policy. Since 2016, China has strenuously sought – and largely managed – not to be in technical violation of the Philippines Arbitration Tribunal ruling despite having publicly disavowed it and has attempted to position itself as a champion of win–win co-operation. This stands in stark contrast to the previous four years in which China rather shockingly began asserting itself with little regard for either legality or diplomatic nicety – the period in which the “aggressive China” narrative gelled. What explains China's whiplash behaviour? Why has the international community largely failed to notice recent changes and adjust the narrative accordingly? We argue that the answers to these questions lie in an eclectic appeal to bureaucratic struggles, the regime's two-level game balancing domestic and international pressures, and psychological considerations. These do not, however, provide satisfactory accounts either of China's behaviour or of the international response in the absence of recognising the crucial importance of second-order rules for making, interpreting, and applying first-order rules in the international system. Social practices of rule-making, in short, provide vital context. Our analysis suggests a series of takeaways both for International Relations theory and for managing relations with China.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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