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Record W4412224354

D9.5 Public recommendations for inland transport in Northern Europe

2023· report· en· W4412224354 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

VenueVBN Forskningsportal (Aalborg Universitet) · 2023
Typereport
Languageen
FieldSocial Sciences
Topictransportation and logistics systems
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsGeographyArchaeologyRegional science
DOInot available

Abstract

fetched live from OpenAlex

"Public Recommendations for Inland Transport in Northern Europe" serves as a comprehensive guide, providing practical insights for policymakers and industry stakeholders striving for a sustainable and efficient inland waterway transport (IWT) system. Specifically focusing on the objectives of the AEGIS project's Use Case B, led by DFDS, supported by Aalborg University (AAU) and the Technical University of Denmark (DTU), the report underscores the crucial need to optimize transportation activities within the European waterborne transport sector.<br/>By advocating for the adoption of zero-emission propulsion systems and innovative vessel designs, the report aims to facilitate the seamless integration of eco-friendly practices within the IWT framework. It highlights the importance of customized shuttle sizes and efficient cargo transshipment processes to ensure the smooth movement of goods between ports and terminals. The recommendations stress the significance of cultivating collaborative partnerships and standardized protocols to enable streamlined coordination and data exchange across various transport modes, fostering a cohesive and sustainable logistics network.<br/>With a strong focus on sustainable freight corridors and public awareness campaigns, the report emphasizes the advantages of IWT, including reduced carbon emissions, cost-effectiveness, and employment opportunities. It underscores the critical role of regulatory enhancements and the allocation of dedicated funds for infrastructure development, climate resilience, and the advancement of green technologies. Aligned with the goals of the European Green Deal and the broader sustainability objectives of the European Union, these recommendations aim to nurture a resilient and environmentally conscious inland waterway transport system, paving the way for a more sustainable future in European maritime logistics.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.814
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.167
GPT teacher head0.358
Teacher spread0.191 · 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