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Record W2972494026 · doi:10.1163/15718085-13431093

The IMO Initial Strategy for the Reduction of GHGs from International Shipping: A Commentary

2019· article· en· W2972494026 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

VenueThe International Journal of Marine and Coastal Law · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicMaritime Transport Emissions and Efficiency
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGreenhouse gasInternational shippingMedium termConventionInternational lawTerm (time)Environmental economicsBusinessConference of the partiesInternational tradeEconomicsLawPolitical science

Abstract

fetched live from OpenAlex

Abstract In 2018 the IMO adopted the initial Strategy for the international shipping industry’s reduction of global greenhouse gas emissions towards achieving the goal set in the 2015 Paris Agreement. At this time the Strategy is no more than a preliminary structure to frame the measures that will need to be adopted for the short, medium and long terms. In the short term (2018–2023) a first suite of measures will be adopted, and the initial Strategy will be revised and adopted as changed in 2023 with proposed measures for the medium term (2023–2030) and long term (2030–2050 and beyond). New international standards, tools and best practices will be needed to supplement the existing energy efficiency management rules in the International Convention on the Prevention of Pollution from Ships, 1973/78. This article discusses the Strategy and the role of the IMO in leading the shipping industry on the road to decarbonization.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.789
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.253
Teacher spread0.241 · 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