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Record W3162954718 · doi:10.1017/cyl.2021.3

Any Port in a Pandemic: International Law and Restrictions on Maritime Traffic during the COVID-19 Pandemic

2021· article· en· W3162954718 on OpenAlexvenueno aff
JUSTIN OKERMAN, Barbara von Tigerstrom

Bibliographic record

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2021
Typearticle
Languageen
FieldMedicine
TopicTravel-related health issues
Canadian institutionsnot available
Fundersnot available
KeywordsPandemicContext (archaeology)International Health RegulationsCoronavirus disease 2019 (COVID-19)International lawCommunicable diseaseOutbreakPort (circuit theory)Political scienceCruiseInternational tradeBusinessLawDevelopment economicsGeographyPublic healthInfectious disease (medical specialty)DiseaseEconomicsMedicineEngineeringVirology

Abstract

fetched live from OpenAlex

Abstract The current international framework that purports to regulate the spread of communicable disease in the context of maritime traffic is a fragmented, internally inconsistent, and inadequately enforced patchwork of treaties (including the International Health Regulations (2005)) and customary international law. The COVID-19 pandemic has tested the current framework and revealed it to be inadequate to deal with a major global health emergency. States have imposed or failed to impose varying control measures, the effects of which have been witnessed on board passenger vessels around the world. The cruise industry, in particular, has a significant global economic impact; therefore, appropriate, enforceable international regulation is necessary to ensure the adequate control of future communicable disease outbreaks.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.706
Threshold uncertainty score0.591

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.011
Scholarly communication0.0100.003
Open science0.0020.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0080.001

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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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