Riverbank characteristics and stability along the upper estuarine reaches of the Moose River, northern Ontario
Bibliographic record
Abstract
The riverbanks within the upper reaches of the Moose River estuary have been analysed to determine their stratigraphy, geotechnical properties and stability. Rotational slumps, translational slides, block falls and earth flows are the forms of mass movement identified within the study area. Rotational slumps are the most common failure type and are particularly concentrated along the north mainland banks characterized by a basal glaciomarine unit (Tyrrell Sea clay) overlain by a thick silt unit and capped by a thin organic soil layer. The rotational slumps commonly occur in the spring and are associated with the sensitive basal stratigraphic unit (Tyrrell Sea clay). The tidal inundation and exposure of the clay twice a day encourages instability by promoting cracking which weakens the unit. Undercutting by the river flow and the scouring by river ice during spring breakup further destabilizes the bank. Coupled with an increase in pore-water pressure during snowmelt (thereby decreasing the shear strength of the sediment), and the rapid drawdown effect following the spring freshet, particularly after an ice jam, a loss of sediment strength and change in support by the river results, and large-scale failures occur.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".