First port of call: a horizon scanning workshop for sustainable Arctic marine infrastructure
Bibliographic record
Abstract
To support the predicted growth of shipping activities in the Arctic region in coming decades, port developments and associated shipping infrastructure will be required to be developed in both Arctic and sub-Arctic areas.Such large-scale development in unique and potentially vulnerable areas are likely to have wide-ranging effects and associated impacts.We therefore consider the future challenges, opportunities and knowledge gaps associated with the environmental impacts of developing Arctic and sub-Arctic port infrastructure.Here we present the outputs of an international, virtual workshop held in January 2022 exploring this theme.The workshop brought together Arctic, marine and port researchers, practitioners, non-governmental organisations, and local communities representing a range of geographies and disciplines.Based on pre-workshop consultation, five topics were considered: marine mammals and noise; discharges and pollution; ecosystem impacts and effects; environmental management and assessment; and infrastructure and geography.Dissemination of the workshop found five overriding themes that were common across each topic discussion: i) utilising best practice and governance; ii) community and Indigenous Peoples engagement and participation; iii) common vs. Arctic-specific challenges; iv) impact assessment including consideration of cumulative impacts and effects; and v) climate change.The workshop highlighted the requirement to continue to build and broaden discussion, for further collaborative work and research streams to be developed, to ensure any future Arctic and sub-Arctic port infrastructure, in support of Arctic shipping, is developed sustainably.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".