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Record W2005840883 · doi:10.3402/ijch.v69i1.17386

Unintentional injuries among children and adolescents in Aboriginal and non-Aboriginal communities, newfoundland and labrador, Canada

2010· article· en· W2005840883 on OpenAlexaffabout
Reza Alaghehbandan, Khokan C. Sikdar, Don MacDonald, Kayla Collins, Annette MacKay Rossignol

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2010
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsNewfoundland and Labrador Centre for Applied Health ResearchMemorial University of Newfoundland
Fundersnot available
KeywordsDemographyResidenceMedicinePopulationInjury preventionMortality rateGeographyPoison controlHospital dischargeEnvironmental healthSurgery

Abstract

fetched live from OpenAlex

OBJECTIVES: To compare epidemiologic characteristics of unintentional injuries among children and adolescents in Aboriginal and non-Aboriginal communities in the Province of Newfoundland and Labrador (NL), Canada. STUDY DESIGN: A comparative population-based study of unintentional injuries among individuals 0-19 years was conducted among Aboriginal and non-Aboriginal communities in NL. METHODS: The provincial hospital discharge and mortality data were analyzed for a 6-year period, April 1995 to March 2001. Rates and rate ratios related to hospital discharge and mortality due to unintentional injuries were calculated to assess variation of rates. The 2-independent sample binomial proportion test was used to compare rates between Aboriginal and non-Aboriginal communities. RESULTS: The overall hospital discharge rates of unintentional injury in Aboriginal and non-Aboriginal communities were 1,132.0 and 614.2 per 100,000 population, respectively (p(2)<0.001). For both Aboriginal and non-Aboriginal communities, the rate among males was higher than that of females (p(2)<0.001). The mortality rate was found to be higher in Aboriginal communities than non-Aboriginal communities (84.3 vs. 10.2 per 100,000 population) (p(2)<0.001). CONCLUSIONS: The rate of unintentional injury among children and adolescents in Aboriginal communities is higher than non-Aboriginal communities. Sex (male) and place of residence (Aboriginal communities) were strong predictors of unintentional injury in NL.

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)0.000
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 score0.161
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.005
GPT teacher head0.313
Teacher spread0.308 · 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

Citations38
Published2010
Admission routes2
Has abstractyes

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