In Situ Localization and Quantification of Sediment Deposits after Dredging and Disposal Interventions in Sydney Harbour, Canada, Using a Dynamic Penetrometer
Bibliographic record
Abstract
In late 2011, more than 4.2 million cubic meters of seafloor sediments dredged from the central channel of Sydney Harbour (Nova Scotia, Canada) were relocated to a coastal site near Edwardsville, on the west side of the South Arm of the harbor. Dynamic penetrometer measurements were carried out in October 2012 for rapid geotechnical characterization, localization, and quantification of dredged material deposits, using the lightweight dynamic penetrometer Nimrod. Complementary sediment samples and digital images were taken at selected positions using a small grab sampler and underwater camera. Sydney Harbour is characterized by a large variety of sediment types. Muddy sediments ranging from low to moderate consolidation states were found, as well as compacted fine sands. The dynamic penetrometer results allowed the localization and quantification of deposited dredge disposal material in a cost- and time-efficient manner. The spatial distribution of sediments is in good agreement with a sediment dynamics model by CBCL Limited. However, the deposited sediment layers were thicker than anticipated, being on the order of 10-20 cm, and reaching several tens of centimeters when mixed with finer, muddy deposits.
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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 | 0.000 |
| 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".