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Record W3194960643 · doi:10.26443/firr.v9i1.8

Fishery Depletion and the South China Sea

2019· article· en· W3194960643 on OpenAlex
Jaymes MacKinnon

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFlux International Relations Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicMaritime Security and History
Canadian institutionsnot available
Fundersnot available
KeywordsOverexploitationMilitarizationChinaFisheryGeographyTragedy of the commonsDevelopment economicsPolitical scienceCommonsEconomicsBiology

Abstract

fetched live from OpenAlex

Fishery depletion is a driving force in the militarization of the South China Sea. Using Garrett Hardin’s theory “the tragedy of the commons” as an analytical lens, this paper explores the relationship between the lack of legitimate territory designations and the illegal overexploitation of wild fish stocks. It argues that China, as the regional hegemon, has triggered conflicts by pursuing an agenda of maritime territorial expansionism. Some Southeast Asian countries, affected by these resource-driven incursions, defend their exclusive economic zones through military buildup. Therefore, the rising violence and decreasing availability of fish force some non-commercial fishermen to pursue piracy as an alternate form of income. The findings of this paper suggest that increased militarism of the South China Sea has not only predominantly affected the lives of non-commercial fishermen but also negatively impacted the regional environmental health. In the future, without multilateral resource management, this militarization will only worsen.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.754
Threshold uncertainty score0.994

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0700.007

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 head0.011
GPT teacher head0.271
Teacher spread0.260 · 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