Factors Influencing the Long-Term Stability of the Carbonate Sand Beaches of Mauritius
Bibliographic record
Abstract
The long-term stability of the carbonate beaches of Mauritius is the result of the net balance of the supply of carbonate sand from the coral reef environment and the loss of sand to adjacent depositional beaches and through passes in the fringing coral reef to off-reef environments. Carbonate sand is supplied from the lagoon and the balance has been tipped in the favor of losses over supply due to a range of anthropogenic factors including: historic coral harvesting for lime kilns servicing the sugar cane refining industry; removal of coral for water ski lanes; coral health degradation through a decrease in water quality; over-fishing; and creation of navigational passes. This paper presents a technique for quantifying the supply of sand from the various lagoon facies using sediment constituent analysis and hyperspectral imagery. Numerical models are used to describe the sand loss. Non-structural management recommendations are designed to reverse the long-term beach erosion trend.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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; 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".