Bibliographic record
Abstract
Lateral grading of beach sediments can he achieved by downdrift attrition and/or longshore drifting. Chesil Beach (England) is graded from small to large pebbles and cobbles south-eastward in the direction of increasing wave energy. Attrition is very slow, and grading seems to have been achieved by alternations of longshore drifting with selection of coarser from finer particles by the stronger south-eastward movement. Wave energy gradients may have contributed by moving smaller particles westward, and by conserving the lateral gradation. Hawke Bay beach (New Zealand) is graded in the reverse direction. It is fed with sand and gravel by the Mohaka River, near the western end, and lateral grading has been attributed to downdrift attrition eastward. Longshore sorting has probably also contributed, and a method of separating attrition from sorting is proposed. The two systems are compared as a basis for elucidating the causes of lateral drifting, which can evidently develop in different ways.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.992 | 0.994 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".