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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 OpenAlex
Chris Houser, Robert W. Brander, Christian Brannstrom, Sarah Trimble, Jane Frances Flaherty

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.816

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

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