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Record W2791859770 · doi:10.36366/frontiers.v28i1.379

Case Study of Rip Current Knowledge amongst Students Participating in a Study Abroad Program

2016· article· en· W2791859770 on OpenAlexaff
Chris Houser, Robert W. Brander, Christian Brannstrom, Sarah Trimble, Jane Frances Flaherty

Bibliographic record

VenueFrontiers The Interdisciplinary Journal of Study Abroad · 2016
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsStudy abroadRip currentMedical educationPsychologySummer vacationPedagogyMedicinePolitical scienceShoreFishery

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.044
GPT teacher head0.454
Teacher spread0.410 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations16
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueFrontiers The Interdisciplinary Journal of Study AbroadSame topicInjury Epidemiology and PreventionFrench-language works237,207