Alluvial Floodplain Classification and Organization in Low-relief Glacially Conditioned River Catchments
Bibliographic record
Abstract
The imprint of late Pleistocene glaciation on river systems is an essential theme in Canadian geomorphology. Existing ideas about glacial legacy effects tend to focus on mountainous environments, which are different from the low-relief physiography of the Laurentian Great Lakes region. This study investigates river landforms in southern Ontario to develop an improved conceptual fluvial landscape model, reflecting glacial legacy and post-glacial fluvial processes. The analysis is based on an original dataset, including basic channel observations from over 500 field sites, alluvial floodplain properties from 109 sites, and published physiographic mapping from digital sources.Glacial signatures are evident in river profiles extracted from a digital elevation model (DEM) for 22 river catchments in southern Ontario. Stream power and slope-area analysis stratify river slopes by glacial landform types and demonstrate significant differences between rivers incised into glacial moraines versus plains. A stream length-gradient index provides a relative measure of how river profiles are oversteepened or understeepened by glacial landforms relative to a theoretical graded profile.Four first-order alluvial floodplain classifications are presented using k-means clustering analysis. Predictive variables are explored using PCA and discriminant analysis, producing two principal components: (1) stream power-resistance and (2) floodplain sedimentology (or floodplain sand equivalent,
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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) | 0.010 | 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".