2D physical model study of an erosion-resistant clay dyke
Bibliographic record
Abstract
This report describes a two-dimensional physical model study conducted by the National Research Council of Canada's Ocean, Coastal and River Engineering Research Centre (NRC-OCRE), in close collaboration with Kerr Wood Leidal Associates (KWL), to support the design of an erosion-resistant clay dyke that is to be constructed for the Boundary Bay Living Dyke pilot project in Surrey, British Columbia. Several dyke models were constructed and tested at full (1:1) scale in the NRC-OCRE’s Large Wave-Current Flume located in Ottawa, Ontario. The dyke models were constructed using clay and till sediments locally procured from Surrey that eroded naturally in response to wave forcing. The test facility was outfitted with a wave machine that was capable of generating a wide range of realistic sea states. The model was suitably equipped with instrumentation to measure wave conditions, near-bed orbital velocities, and changes in the shape of the dyke. A total of 28 individual tests were conducted to assess the performance of the various dyke compositions and varying compaction rates for a range of prescribed wave conditions and water levels. These investigations generated a large quantity of valuable information concerning the proposed dyke design. This information will be used by KWL to optimize and support the detailed design of the Boundary Bay Living Dyke pilot project.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".