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Record W4408824593 · doi:10.5194/oos2025-298

Launching GEBCO’s Vision to bring knowledge about our planet’s seabed to everyone

2025· preprint· en· W4408824593 on OpenAlexaff
Geoffroy Lamarche, David Millar, George Spoelstra, Kim Picard

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicSpace exploration and regulation
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsPlanetSeabedAstrobiologyGeologyOceanographyAstronomyPhysics

Abstract

fetched live from OpenAlex

GEBCO – the General Bathymetric Chart of the Ocean programme – was funded in 1903 by Prince Albert I of Monaco to deliver “the most authoritative, publicly available bathymetry of the world’s oceans” by providing bathymetry data to the world. Bathymetry is necessary for the mapping and charting of underwater features and the topography of the seabed.Today, GEBCO is an internationally recognised and well-respected programme that operates under the joint auspices of the International Hydrographic Organization (IHO) and the Intergovernmental Oceanographic Commission (IOC) of the United Nations Educational, Scientific and Cultural Organization (UNESCO). In 2024, to enable GEBCO to fulfil its expansive and ambitious vision, GEBCO updated its strategy.GEBCO's new vision is to bring knowledge about our planet’s seabed to everyone.and GEBCO's adopted new mission is to produce free, open and complete seabed datasets of the world’s oceans by enabling and inspiring seabed mapping efforts through international capacity development, education, and collaboration.The Strategy broadens GEBCO’s focus to encompass seabed data and datasets, including bathymetry and its derivatives, positioning the programme firmly in the twenty-first-century mainstream of ocean science. It will focus its efforts on providing data that support information and knowledge on the shape of the seabed and help support dedicated governance that strives to increase GEBCO’s visibility and relevance in a world increasingly more aware of the importance of the ocean. GEBCO will promote seabed mapping activities focused on the creation of a definitive set of seabed data of the world ocean spearheaded by the Nippon Foundation GEBCO Seabed 2030 flagship project. It will provide GEBCO with clear direction within the complex structure and relationships between parent organisations, subcommittees and subordinate projects.Seabed data are essential to better understand the geophysical processes that control the dynamics of the seafloor and inform the oceanographic processes that control ocean circulation. These elements are necessary to better understand, protect, conserve and sustainably develop the ocean, the seafloor and the ecosystems and resources it supports. Bathymetry and seabed data are foundational to ocean sciences and required to achieve all six Ocean Decade Outcomes.GEBCO’s outcomes and objectives are organised through five pillars critical to achieving its Vision and Mission: (1) Delivering open and fit-for-purpose seabed data,; (2) Supporting, promoting and using innovative solutions to continuously improve the GEBCO data value chain; (3) Establishing global infrastructure to develop capacity; (4) Engaging communities and partners to best deliver GEBCO’s mission; and (5) Gaining support for our mission through robust processes that influence decision-making.After 120 years of activity, GEBCO more than ever must think about the future it wants for the ocean for the coming generations. GEBCO’s future activities will continue to aim at improving humanities knowledge of the ocean through striving to increase free and easy access to seabed datasets and related knowledge. GEBCO will continue to contribute to the overarching Ocean Decade outcomes, whereby striving for Oceans will be clean, healthy and resilient, productive, predictable, safe, accessible as well as inspiring and engaging.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.745
Threshold uncertainty score1.000

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.018
GPT teacher head0.329
Teacher spread0.311 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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