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Record W4407864200 · doi:10.1080/08920753.2025.2469292

Economic Burden and Costs of Drowning in Costa Rica

2025· article· en· W4407864200 on OpenAlex

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

VenueCoastal Management · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsUniversity of WindsorUniversity of Waterloo
Fundersnot available
KeywordsNatural resource economicsBusinessEconomics

Abstract

fetched live from OpenAlex

Surf-related drowning fatalities are recognized as a serious public health issue in Costa Rica. Using data obtained from the Costa Rican Judicial Investigation Department, this study estimates the long-term economic impact of surf-related drowning fatalities based on the Value of a Statistical Life Year (VSLY) and an estimate of the direct costs associated with search and rescue, emergency services, and postmortem care. Between 2001 and 2022, surf-related drowning fatalities in Costa Rica resulted in a direct cost (DC) of >$2.0 million per year (USD) for search and rescue, >$87k/yr in costs to the families for repatriation (R) of the deceased, and a long-term economic burden (VSL) of ∼$100 million per year. On average, each drowning in Costa Rica results in a >$2 M cost (VSL+DC+R), which provides a benchmark to assess the net benefit of educational and legislated initiatives (e.g., lifeguards and warning systems) to reduce the number of surf-related drowning fatalities in the country.

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)0.000
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 score0.223
Threshold uncertainty score0.969

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.281
Teacher spread0.272 · 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