Emerging Arctic Opportunities: Dramatic increases expected in Arctic shipping, oil and gas exploration, fisheries, and tourism
Bibliographic record
Abstract
In North America, destination shipping has grown along the Northwest Passage and the Beaufort Sea. Approximately 430 ships a year traveled through the Bering Strait between 2009 and 2010, almost doubling the number of previous ships traversing the same corridor. Barges and tugboats make dozens of trips to resupply their goods, between the U.S. Beaufort Sea coastline and Canada's Northwest Territory, from mid-July until the end of October. Commodity ships sail along Alaska's northern coastline, to Prudhoe Bay or Point Barrow through the Bering Strait to U.S. Arctic ports. About 6,000 ships sailed Arctic waters in 2004, either along the coast of Iceland and the Norwegian Sea, or along the northern coast of Norway and then into the Barents Sea, or across the Bering Sea and north Pacific. About 60% of the 6,000 ships were general cargo ships, container ships, or bulk carriers. This article covers the impediments faced by the growing Arctic shipping endeavors, offshore oil and gas exploration, tourism, fisheries, and the continuing challenges that are faced by the Arctic region.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".