Bibliographic record
Abstract
This paper aims to test whether estimates of paleodischarge made for proglacial terrace sequences support the model of largescale change in hydrologic regime (as inferred from channel pattern, form and sedimentology changes), during deglaciation. Modeling paleodischarges of former braided stream systems on each terrace surface is shown to be at a tentative stage, however, because of numerous error sources and assumptions that remain to be tested. These are discussed in relation to field measurements of channel width, depth, gradient and sedimentology; to theoretical modeling of flow depth, resistance coefficients, velocity, Froude number and discharge; and to geomorphic interpretation of the flow events being modeled. The different discharge models adopted have provided approximate estimates of former peak flows and patterns of change in peak flow magnitudes during deglaciation. Longterm deglaciation appears to have been associated with largescale decreases in peak flows of between 10 and 30 times. On shorter timescales, peak flows produced by short-term meltwater and by non-melt processes, such as volcanically induced floods, mask any longer term discharge trends in the catchment.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".