Case study of a relict iceberg scour exposed at Scarborough Bluffs, Toronto, Ontario: implications for pipeline engineering
Bibliographic record
Abstract
Ice scour is a common process on high latitude shelves and has been studied extensively though laboratory and numerical modelling. Direct observations of ice scours in outcrop are very rare. This paper describes a Late Pleistocene iceberg scour observable in soil cliff exposures at Cudia Park, Scarborough Bluffs, Toronto, Ontario. The structure is cut into a glaciolacustrine clayey silt, is about 10 m wide and 4 m deep, and is filled with sands deposited in shallow water. A description of the scour and a simplified finite element model of sub-ice scour soil deformation are presented. It is estimated that the Cudia scour was caused by a small iceberg with a mass of 0.04 Mt, in a water depth between 10 and 30 m, acting with a downward force of 5 MN, which is consistent with modern iceberg scours. The relevance of the Cudia scour to pipeline engineering (design burial depths) is demonstrated, with reference to the design methodology of the Centre for Cold Ocean Research and Engineering (C-CORE). The Cudia scour provides an additional outcrop example of a subscour bearing capacity-type failure and is the only outcrop example to date with lateral berm piles, which are a characteristic part of modern iceberg scours.Key words: iceberg scour, Scarborough Bluffs, pipeline engineering, finite element modelling, Pleistocene geology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".