Investigating coastal geomorphological response to the passage of Hurricane Dean 2007 in the Southern Caribbean: Cocos Bay, Trinidad
Bibliographic record
Abstract
<span style="font-size: 10.5pt; font-family: 'Times New Roman','serif'; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">Hurricanes form part of the annual weather phenomenon for many Caribbean territories during the months of June to November. Trinidad and Tobago lies south of the main hurricane belt and direct hits from these events are seldom, although, their associated effects from swell waves and spiral bands are experienced. This paper investigates the passage of Hurricane Dean on 17<sup>th </sup>August 2007, and its associated effects on the beach profiles and sediment of Cocos Bay. While this hurricane did not make landfall, the effects on the coastal system are due to the storm generated swells which travelled outwards from the storm centre toward the east coast of Trinidad. Data was collected from 2005 to 2007 and included littoral processes, beach profiles and sediment data using standard geomorphological techniques. The beach's response to the event varied spatially along the bay. While beach erosion is typical at other Caribbean beaches during the passage of these extreme weather systems, at Cocos Bay, some areas accreted while others eroded. Results indicate that the beach's response to this high energy event is dependent on the state of the beach prior to the event. Morphological change seem to be fuelled by bar formation and migration which is enhanced by the passage of a high energy event. A proper understanding of the effects of high energy events on low-latitude tropical beach systems exposed to the Atlantic is invaluable towards informing proper management in a region forecasted to have increased and enhanced Tropical Cyclonic activity due to global warming.</span>
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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 | 0.013 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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; both teacher heads 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".