Conceptual model of river ice types and dynamics along sedimentary links
Bibliographic record
Abstract
Abstract This paper proposes a conceptual model relating the large‐scale distribution of river ice types and dynamics to the longitudinal sequence of river forms and flows typically encountered along the sedimentary links of gravel‐bed rivers. Sedimentary links are discrete river segments each characterized by a node of coarse sediment recruitment followed by a gradual downstream fining of substrate and an associated reduction of channel slope. Because these downstream changes in substrate and slope are associated with changes in channel morphology and hydraulics, they create a longitudinal sequence of river environments moving from steep, fast flowing and highly turbulent boulder bed channels at the head of links to meandering low‐gradient sand channels with calm flows at the downstream end. We describe and show examples of how these spatial variations in the geomorphology and flow characteristics of gravel‐bed rivers should interact with river ice processes to produce a predictable ‘most probable’ large‐scale pattern of river ice types and dynamics. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".