A Study of Rip Current Warning Dissemination Methods
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
Rip currents are a global public health concern, which represent a hazard when swimmers become caught and panic or become exhausted when attempting to swim against the current and back to shore, leading to exhaustion. Studying rip currents from a social science perspective allows researchers to have a more comprehensive understanding of beach user risk. Current research highlights the disconnect between delivery and individual processing of rip current warning messages. This interpretation process is affected by social factors such as gender, age, or prior rip knowledge. Furthermore, a beach user may formulate opinions of safe or dangerous swimming conditions based on the actions of their peers. In this study, we will examine how both rip current warnings and the presence of other beach users simultaneously influence an individual’s decision to enter the water. A survey was sent to undergraduate students at a regional comprehensive University in Ontario, Canada. Results suggest individuals are unable to identify a rip current and decisions are influenced by the presence of fellow beach-goers. This study analyzes behavioural intentions and does not demonstrate action. Future work will assess the effectiveness of rip current warnings on beach sites and evaluate how beach users physically respond to warnings. Understanding how these variables work together will enable managers and communities to create the most effective warnings possible.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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