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Record W2178078597 · doi:10.25035/ijare.07.04.06

Differences in Drowning Rates between Rural and Non-Rural Residents of Ontario, Canada

2013· article· en· W2178078597 on OpenAlexafffundabout
Michael Fralick, Zane Gallinger, Stephen W. Hwang

Bibliographic record

VenueInternational Journal of Aquatic Research and Education · 2013
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsSt. Michael's Hospital
FundersOntario Ministry of Health and Long-Term Care
KeywordsMedicineDemographyResidenceBathtubRural areaPoison controlInjury preventionMortality rateOccupational safety and healthRural populationSuicide preventionPopulationEnvironmental healthGeographySurgery

Abstract

fetched live from OpenAlex

The objective of our study was to determine if rural residence was associated with an increased risk of drowning in Ontario, Canada. We conducted a retrospective cohort study of all unintentional drowning deaths in Ontario Canada from 2004 to 2008. Age-adjusted mortality rates for males and females living in rural and non-rural areas were calculated using direct standardization, with non-rural residents as the reference population. We identified a total of 564 unintentional drowning deaths. The majority (89%) of fatal drowning victims were male, and 75% percent of victims were from non-rural area. Excluding bathtub drowning deaths, the age-adjusted drowning mortality rate was significantly higher for both males (rate ratio 2.8; 95% CI, 2.3- 3.4) and females (rate ratio 2.8; 95% CI 1.5- 5.0) from rural compared to non-rural areas. In Ontario, rural residence was associated with an increased risk of unintentional drowning.

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 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)0.001
metaresearch head score (Gemma)0.001
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 score0.596
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.055
GPT teacher head0.413
Teacher spread0.358 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations9
Published2013
Admission routes3
Has abstractyes

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