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Record W2802687375 · doi:10.1111/reel.12246

Dumping and oil pollution: Regulatory approaches for vessel operations in an ice‐free Central Arctic Ocean

2018· article· en· W2802687375 on OpenAlexaff
Stefan Kirchner, Pirjo Kleemola‐Juntunen

Bibliographic record

VenueReview of European Comparative & International Environmental Law · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsDumpingArcticOil pollutionLawmakingPollutionEnvironmental planningThe arcticEnvironmental protectionInternational lawBusinessEnvironmental scienceEnvironmental resource managementNatural resource economicsOceanographyInternational tradePolitical scienceEconomicsLawLegislatureGeologyEcology

Abstract

fetched live from OpenAlex

Abstract Pollution of the seas by ships has long been an international regulatory concern. International law is mainly reactive in nature, responding to specific needs for regulation. Because lawmaking at the international level can be a slow‐moving process, it is important to determine such regulatory needs early on. This article asks the question whether the regulatory possibilities that exist today are sufficient to protect the Central Arctic Ocean from vessel‐based pollution, with a focus on oil pollution and dumping. It analyses different legal tools with a view to their suitability for the protection of the Central Arctic Ocean against future threats of pollution from vessels operating in the area. It will be shown that, though imperfect and incomplete, rules are already in place which enable the international community to take action to protect the Central Arctic Ocean against dumping and deliberate oil pollution.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.080
GPT teacher head0.332
Teacher spread0.252 · 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.

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

Citations7
Published2018
Admission routes1
Has abstractyes

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