Low angle dune response to variable flow, dune translation, and crestline dynamics in Fraser Estuary, British Columbia, Canada
Bibliographic record
Abstract
Dune geometry and crestline dynamics in river environments are functions of the interaction between fluid flow and the channel bed, however, little is known about how they respond to variable flow conditions in tidal environments. This study examines the evolution of a dune field in Fraser Estuary, Canada using data collected during the largest tidal flux of the neap-spring cycle on the rising limb of the annual hydrograph. Chapter One examines changes in mean geometric properties. Height and lee slope angle respond directly to changes in flow, and are linked to suspended sediment concentration flux. Height and length also show a net increase, likely responding to larger scale changes in the annual hydrograph. Chapter Two addresses crestline dynamics in response to variable flow, examining planimetric morphology, translation rates, and changes in bifurcations. Mean translation increases toward low tide with increasing mean velocity, and decreases toward high tide. Highly bifurcated areas translate farther before low tide, while areas of lower bifurcation move farther after low tide. Bifurcation ‘deaths’ outweigh ‘births’ toward low tide, indicating a shift toward a more two-dimensional planimetric morphology, while births dominate post low tide, suggesting the bed is reorganizing toward a more three-dimensional morphology.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".