Multi-Scale dynamics of mixed sand and gravel deltaic coasts
Bibliographic record
Abstract
Deltaic systems are located at the transition between fluvial and maritime environments. They all \nhave high environmental, economic and social importance, and respond rapidly to both natural \nand human-driven changes. On the other hand, mixed sand and gravel (MSG) beaches are \ncommon in previously para-glaciated coastal regions and coasts with steep hinterlands, and are \nwidespread in the UK, Denmark, Canada, New Zealand and Mediterranean countries. They are \nalso found when nourishment projects use gravel to protect eroded sandy beaches. Despite their \nsocietal importance, the research advances on gravel and MSG beaches are limited compared \nto those on sandy beaches. The main objective of this thesis is to analyse, characterize and \nmodel the dynamics of MSG deltaic coasts based on a multi-scale investigation carried out in \nthe Guadalfeo delta, a Mediterranean delta in a semi-arid and high-mountain basin of southern \nSpain.
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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 | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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; both teacher heads 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".