Shipping Trends in Nunavut from 1990-2015
Bibliographic record
Abstract
This study involved in-depth examination of the past and present shipping activities across Nunavut, Canada from 1990 to 2015. The analysis was performed using Canadian Coast Guard NORDREG data and a geospatial database constructed by the research team. Marine traffic increased dramatically over the 26-year period examined in the study. The total distance travelled by all vessels doubled between 1990 (345,567 km) and 2015 (793,684 km), with a notably steep increase in distance between 2005 (430,0073 km) and 2008 (702,561 km) and the distance travelled by some vessel types increased more substantially than others (e.g., pleasure crafts, fishing vessels, and general cargo). The spatial concentration of ship traffic has been relatively consistent over time, however some changes in intensity and distribution are evident within certain vessel types and particularly in the Northwest Passage and throughout the Kitikmeot region. There has been a clear shift in geographic concentration of tourism vessels that favours the Northwest Passage over southern areas utilized in the past. Some vessel types, such as fishing vessels and bulk carriers, are more spatially limited than others such as passenger ships and icebreakers which are seen throughout Nunavut.
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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 | 0.003 | 0.007 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".