MétaCan
Menu
Back to cohort
Record W4406284963 · doi:10.5670/oceanog.2025.128

Impact and Insights from the NF–POGO Centre of Excellence in Observational Oceanography: A Trainee Perspective

2025· article· en· W4406284963 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.

fundA Canadian funder is recorded on the work.
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

VenueOceanography · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
FundersDivision of Ocean SciencesHakai InstituteOcean Frontier InstituteDalhousie University
KeywordsExcellenceGeneral partnershipObservational studyPerspective (graphical)MedicineManagementEngineeringMedical educationPolitical scienceBusinessComputer scienceFinanceInternal medicineEconomics

Abstract

fetched live from OpenAlex

The Nippon Foundation–Partnership for Observation of the Global Ocean (NF–POGO) Centre of Excellence (CofE, https://pogo-ocean.org/​capacity-development/centre-of-excellence/) has provided advanced training in observational oceanography since 2008. Each year, a cohort of 10 scholars is selected to participate in this 10-month postgraduate-level program, which consists of expert-led instruction and hands-on experience. The CofE targets early-career ocean professionals (ECOPs), primarily from developing economies, and addresses global disparities in oceanographic expertise and resources, offering scholars unique opportunities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.229
Teacher spread0.220 · 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