Rip Currents and Beach Safety at Brackley Beach, Prince Edward Island (PEI)
Bibliographic record
Abstract
Rip currents can pose a significant danger to beach goers who are often unaware of the dangers associated with entering the water, particularly if they are inexperienced swimmers or are visitors to the area. This study examines historical patterns of rip channels at Brackley Beach, located on the north shore of Prince Edward Island, by determining the locations and periodicity in which they form. Nearshore bars positions were manually mapped in GIS using satellite imagery (a common technique to map geographic features) and locations of rip currents were inferred by identifying gaps or channels that form within these alongshore structures. Preliminary results indicate the presence of stationary and non-stationary rip channels that develop at Brackley Beach through time. The identification of stationary rip currents can be directly utilized by coastal managers to inform beachgoers of persistent hazards that are spatially dependent (i.e., develop in the same location over multiple years). Environmental factors (e.g., wave conditions) and timing associated with non-stationary rip channels were also examined to determine how well the formation of these dynamic features can be predicted. These findings will ultimately be used promote beach safety at Brackley Beach by providing coastal managers an improved understanding on the spatiotemporal controls on rip current formation, and a similar methodology could be used to identify and predict rip channels in other marine and lacustrine environments.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".