Textural, Mineralogical and Chromatic Characterisation of the Beach Sediments of Cuba: Management Implications
Bibliographic record
Abstract
Although it is practically impossible to find locations without a massive flux of tourists, few beach destinations present a great attraction due to their privileged natural characteristics. This is often the case for sites that show splendid beach sands. To maintain their tourist attraction and related economic income, it is essential to know sediment characteristics such as their mineralogical composition, particle size, and colour. This paper presents a textural, chromatic, and mineralogical database of 90 beaches in Cuba. The composition of sediments was identified by stereomicroscopy, their texture by digital image analysis, sand colour according to the CIE space and X-ray diffraction, and fluorescence and electron microscopy were used to determine sediment mineralogy. Two main groups of beaches were identified: the lighter and brighter beaches of the cays are dominated by the association of authigenic carbonates (aragonite, kutnohorite, and calcite) while the south and northeastern coasts of eastern Cuba are dominated by darker sediments with larger grain sizes composed of amphibole, pyroxene, serpentines, chlorites, quartz, and plagioclase of detrital origin. The data obtained will allow the design of proper management actions of coastal resources, i.e., the maintaining of beaches’ sediment quality after nourishment works and, at the same time, the promotion and development of new, presently undervalued areas.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".