Ice investigations at the Nanisivik wharf: an historical retrospective
Bibliographic record
Abstract
The wharf at Nanisivik was constructed over the winter 1974-75. It was the first deep-water wharf in the Canadian Arctic and there were questions on ice-structure interaction processes, ice loading and performance. This provided the impetus for a series of investigations at the site extending up to the present time. The wharf is located on Strathcona Sound, which is characterized by relatively land fast ice subject to vertical motions under tidal action. The nearby community and mine provided access and logistics which were very amenable for extensive on-site investigation. Early investigations extending over several winters showed the build-up of a zone of ice between the vertical wharf face and the adjacent level ice sheet. This ice behavior extends to the present. Various schemes of ice force measurement, directly on the wharf face and in the adjacent ice cover have been conducted and reported on at various conferences. Because of the mine, which the wharf was built to serve, extended season marine shipping occurred and also played a part in the ice investigations. This paper will provide an overview of ice investigations conducted at and around the Nanisivik wharf over an almost 50-year period and a summary of what has been learned.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".