Coastal Benthic Habitat Mapping to Support Marine Resource Planning and Management in St. Kitts and Nevis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract A benthic habitat mapping method was applied in St. Kitts and Nevis to create baseline data that serves as input for a marine resource management framework. High resolution satellite imagery (<4 m pixel), combined with an extensive field survey, facilitated the creation of the first high resolution benthic habitat maps for the coastal waters of St. Kitts and Nevis. We demonstrate how Small Island Developing States (SIDS) with limited resources, can employ a scientifically sound, yet relatively low‐cost method to develop coastal benthic habitat maps. These data, along with other marine use information, were reviewed through stakeholder involvement and fed into a larger project aimed at drafting a federation‐wide multi‐objective marine zoning plan. The benthic habitat data quantified the spatial extent and location of key marine ecosystems and served as one of the critical data layers used in the marine zoning decision‐support software. The modeled outputs provided insight to marine resource managers making decisions on how to balance both environmental and economic needs.
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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 | 0.005 |
| 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 it