Case Study of Rip Current Knowledge amongst Students Participating in a Study Abroad Program
Bibliographic record
Abstract
Students studying abroad or participating in a foreign exchange often visit a beach during their time abroad, but little is known about their understanding of rip currents and other surf hazards, their behavior, their choices, or if they take precautions when visiting a beach. This study describes the results of a survey of Texas A&M University students who completed a study abroad program between May 2013 and May 2015. Results of the survey suggest that a majority of the students surveyed (~74%) visited at least one beach during their time abroad, and over 50% of students visited more than 2 beaches. The visit to the beach was optional for most of the respondents and most went as part of a group. Decisions about the beaches visited tended to be based on convenience and recommendations from other students, tourists, or locals, and were rarely based on safety. Results of this preliminary study point to a need for implementing proactive beach safety education programs for students studying abroad.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".