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Record W7038737469

Investigating the effect of applied shear stress on cohesive riverbank erosion

2015· dissertation· en· W7038737469 on OpenAlexaffabout

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSubaerialFluvialErosionNumerical modelsWater erosionShear stressDeposition (geology)Shear (geology)
DOInot available

Abstract

fetched live from OpenAlex

Morphological changes along several channels have raised concerns in the Province of Manitoba. This thesis presents a comprehensive study of fluvial morphological processes in open channels. Due to the recent concerns in the Province of Manitoba, the study mainly focused on the Red River in the city of Winnipeg, and two diversion channels in northern Manitoba. Morphodynamic conditions of these channels have become more complicated due to the cohesive nature of the channels bed and bank material and significant effects of subaerial processes. Several field measurement techniques, experimental setups, and numerical models were used to gain a better understanding of these complicated processes within the study reaches. Field measurements include soil sampling, water sampling, hydrometric surveys using an ADCP; the experimental setup includes several standard soil properties tests as well as an erosion measurement test; numerical modelling includes hydrodynamic and thermal modelling to quantify applied shear stress and seasonal freeze-thaw processes. Moreover, the effect of deposition processes on the final geomorphology of the study areas is discussed.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.207

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.217
Teacher spread0.201 · 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 designBench or experimental
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
Published2015
Admission routes2
Has abstractyes

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