Bibliographic record
Abstract
This paper illustrates a budget approach to investigate and manage littoral sediment for coastal defence within an integrated process system in west Dorset, England. The budget is quantified in terms of inputs, transfers, storage and outputs of sediment within a littoral cell. Complex, long established links are demonstrated between eroding cliff sediment sources and a sequence of pocket shingle beaches that they supply. Sediment inputs and subsequent transfers are found to be episodic so that the beaches naturally alternate between open and closed system states according to prevailing transport conditions. Interestingly, the major storm barrier of Chesil Beach is identified as the ultimate shingle sink. These results suggest that the beach did not simply develop as a product of the Holocene transgression as often envisioned, but until recently, it formed part of a larger natural process system with the periodic input of additional shingle from the west, derived from the erosion of massive unstable cliffs. However, several interventions have dislocated these natural linkages, unwittingly reinforcing the closed system states. In the absence of natural replenishment, the modified beaches are becoming increasingly sensitive to the continuing relative sea-level rise and storm activity that characterises this region. Attention is drawn to the need to establish such understanding prior to undertaking additional interventions. Details are provided of the ways in which this information has assisted in the control of beach mining and future management policies are suggested.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.006 | 0.002 |
| Insufficient payload (model declined to judge) | 0.986 | 0.984 |
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".