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Record W7161780212 · doi:10.82308/13015

Fluvial erosion of glacial tills in Ontario: erosion mechanics, critical shear stress and geotechnical properties

2022· dissertation· en· W7161780212 on OpenAlexaboutno aff
Dorothy Yeats

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsTributaryErosionFluvialGlacial periodSedimentWeatheringFlumeLoessShear stress

Abstract

fetched live from OpenAlex

Quaternary glacial deposits have covered much of southern Ontario in till. Rivers incised into this cohesive sediment have been little studied. Land use change and climate change are increasing river flows leading to increased erosion. To determine the range of erosional resistance of tills, as well as the effects of weathering due to freeze-thaw cycles and wet-dry cycles, the erosion mechanisms and critical shear stress of glacial tills from two Ontario rivers, the Otonabee River in Peterborough, and Medway Creek in London, were studied. Till samples were collected at one in-stream location along the Otonabee River and at two locations on Medway Creek – from the riverbank of a tributary and from eroded pieces collected from a main-stream pool. Geotechnical tests were performed on the samples at the Geotechnical Laboratory of l’Université de Sherbrooke. The samples, once prepared for testing under submerged moisture content, fully dried, or after a freeze-thaw cycle, were tested in a straight hydraulic flume at McGill University. Critical shear stresses of the tills at approximately in-situ moisture content (submerged) at Medway Creek’s two locations were 8.2-8.7Pa. The main mechanism of erosion was mass erosion occurring near natural planes of weakness such as cracks or near gravel particles. The mass erosion rates at critical shear stress were 10.5-10.6 g/hr, while increased erosion rates were observed at above-critical shear stresses, and decreased erosion rates at below-critical shear stresses (never zero). The results at the Otonabee River site were inconclusive due to an undefined drying of the sample before collection at the river site. Preparation and testing of the samples demonstrated that sample preparation by cylindrical coring is superior to cutting the sample to size with a band saw, likely due to sample disturbance. The effect of drying on the samples was a large decrease in erosional resistance, with critical shear stress values of 0.15-0.16 Pa at the Medway Creek and mass erosion rates of 112.2 - 179 g/hr. The dried samples lost cohesiveness and integrity leading to upheaval upon wetting and rapid mass erosion of small particles. Samples subjected to one freeze-thaw cycle also had decreased erosional resistance, with critical shear stress values of 1.14 - 1.5 Pa. The mechanisms of erosion here resembled those of the submerged experiments, with mass and flake erosion around planes of weakness being the main mechanism

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.024
GPT teacher head0.263
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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