Iqaluit’s New Deep-Sea Port in the Canadian Arctic
Bibliographic record
Abstract
Iqaluit, located in Nunavut in the Canadian Arctic, is the site of a recently constructed full-serviced deep-sea port dedicated to the annual resupply of cargo, including dry cargo and bulk fuel. The port was built by the Government of Nunavut. Iqaluit, the capital city of the Nunavut territory in northern Canada, has a population of 8,000 and receives more cargo than any other Arctic community in Canada, typically receiving an average of 12 dry cargo ships and 7 fuel tankers per year during the navigable season of early July till the end of October. Other vessel calls to Iqaluit include the Canadian Coast Guard, fishing trawlers, research vessels, cruise ships, and naval ships. With a vertical tidal range approaching 12 m between high and low astronomical tides during the spring tides, dry cargo was historically lightered ashore by flat bottom barge to a beach accessible for only short daily windows, fuel was pumped ashore with floating hoses, and crew/passenger ship changes were tendered ashore in small boats. The new port includes a deep-sea wharf, sealift ramp, laydown yard, fuel pipeline extension and manifold, and other ancillary components. The newly completed facility allows for 24 h operations, no tidal restrictions, and increased laydown space resulting in significant reductions in the unloading times of vessels.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".