Depositional record of seagrass epiphytes and their link to differing physiochemical conditions
Bibliographic record
Abstract
The Cayman Islands are small islands in the Caribbean, prone to damage from tropical storms. Barrier reefs and large sediment loads help protect human settlements from the waves these storms generate. The coastal sediment budget is mainly governed by natural processes, such as erosion, but also added to by calcareous shells and siliceous tests of marine organisms. In the Cayman Islands, much of the contributing biota are epiphytes that form a crust on the leaves of marine seagrass (Thalassia testudinum). These organisms include coralline algae and gastropods as well as microorganisms such as foraminifera. This study examines sediment samples from cores in two lagoons on Grand Cayman, North Sound and South Sound. North Sound is very large, has thick vegetation and is lined with mangroves along much of the shore. South Sound is relatively small, has only minimal mangrove contact, and is regularly swept through by strong ocean currents. Water circulation patterns are significantly different between the two sounds, with much of North Sound’s waters recirculating rather than being refreshed. In this project, sediment core samples from both sounds are analyzed and biota identified. The genera between the cores are compared to determine if the biota is different. The relative abundances of epiphyte genera are documented to determine their distribution along a 50 cm vertical sediment profile in each lagoon. The results will be analyzed to determine whether the dissimilar physiochemical conditions between the two sounds can be linked to the presence of differing biota through each sediment core. Faculty Mentor: Hilary Corlett Department: Earth and Planetary Sciences
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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; 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".