Bibliographic record
Abstract
The growth of communities and economic activity in the Canadian Arctic is resulting in development of new port facilities. Some guidance for these developments has been gained from observations of ice behavior and measurements of local ice forces at Nanisivik. The ice conditions at the site are first-year fast ice during the winter preceded by a 2-to-3-week freeze-up period. During the melt and summer seasons the ice conditions can be described as mobile pack ice, with occasional glacial ice inclusions. The combination of fast ice, a 3-m tide and the steel construction of the wharf leads to the formation of a zone of disturbed ice between the wharf and the first-year ice, complicating the application of existing guidance documents to ice force predictions. Global ice forces based on application of ISO 19906:19 Arctic offshore structures standard yielded an annual global load of 22 MN on a 23-m diameter cell and 75 MN on the 100-m-wide Nanisivik wharf. Extrapolating from the annual mean line load measured on a 0.54-m width, a global load of 10 MN on the 23-m diameter cell was determined. Ice load measurements on hydropower dams provide direction in interpreting ice pressure data over various scales on structures. Observations of ice conditions and measurements of ice loads at Nanisivik, together with dam experience, provide a basis for guidance on predicting ice loading on port structures in the Arctic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".