Research on the variation of ice condition in the key areas of the Arctic Northwest Passage
Bibliographic record
Abstract
According to historical documents about the Arctic Northwest Passage, the sea ice conditions in the period from 2003 to 2011 are very representative to reflect the changing trend of the sea ice conditions of the Arctic Northwest Passage.In August and September of this period, the melting of the ice would be the most, and the proportion of the sea ice is reducing obviously.Therefore, this dissertation has made detailed analysis on the satellite maps of the Arctic Northwest Passage in some representative days including August 20th, August 31st, September 30th, and the critical days with the minimum ice in the fairway.In order to ensure the systematicness and unity of the research, all of the satellite maps are made according to the AMSR-E satellite data by the PHAROS group in Bremen University.By the horizontal comparison of the four representative days in the same year, and the longitudinal comparison of the same days in 9 different years, Some conclusions have been made: because the least proportion of the sea ice has often occurred in the first half of September, and the proportion of the sea ice is decreasing approximately year by year in the period of the period from 2003 to 2011, specific navigable period should be determined around the first half of September.However, according to the Arctic Ocean Assessment Report, considering that there have not been enough ports, infrastructures, hydrological information and oceanographic data etc, the international working groups thought that the Arctic Northwest Passage would not be navigable before 2020.Therefore, the conclusions of this dissertation should only be the reference to determine the navigable period of the Arctic Northwest Passage.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".