Bibliographic record
Abstract
A recent report by Norway's classification society DNV and the Fridtjof Nansen Institute noted, The Arctic can also be considered as referring to all the northerly places where average July temperatures do not rise above 10 degrees Celsius. By this definition, much of the Bering Sea between Russia and Alaska, and the Labrador Sea between mainland Canada and Greenland, could be considered Arctic even though they lie south of the Arctic Circle. Nordic Orion is an ice-class 1A ship, says Bonfils. These ships are designed and built to operate in the harsh conditions of the Arctic. [Koji Sekimizu] spent five days onboard the nuclear-powered icebreaker 50 Let Pobedy in the Northern Sea Passage in mid-2013, to gain a personal understanding of the issues faced by Arctic mariners and their vessels. He pointed out that, If the elements of national regulation from Canada are to be maintained there will be a number of different points to be considered. As far as I can see, in the forthcoming five years, the Northern Sea Route will be the main shipping lane for navigation and passage.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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".