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Record W1979721392 · doi:10.1080/17457300600935122

Adolescent injuries in Canada: findings from the Canadian Community Health Survey, 2000 – 2001

2006· article· en· W1979721392 on OpenAlexaffabout
Frank Mo, Michelle C. Turner, Daniel Krewski, Joav Merrick

Bibliographic record

VenueInternational Journal of Injury Control and Safety Promotion · 2006
Typearticle
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsInstitute of Population and Public HealthUniversity of Ottawa
Fundersnot available
KeywordsOccupational safety and healthPoison controlSuicide preventionInjury preventionHuman factors and ergonomicsMedical emergencyEnvironmental healthMedicinePsychology

Abstract

fetched live from OpenAlex

This article presents a description of injuries among 24312 Canadian adolescents, aged 12-24 years, based on the Canadian Community Health Survey, 2000-2001. A total of 3214 (25.6%) males and 2227 (16.5%) females reported having at least one serious injury in the past year. The leading causes of injury in adolescents were: falls; overexertion or strenuous movement; accidentally bumped, pushed or bitten; and accidentally struck or crushed by objects. The parts of the body most often affected were the ankles/feet, wrists/ hands and knees/lower legs. The most frequent locations of injuries were: sports or athletic areas; home; school, college or university areas; and the street, highway or pavement. Injuries were more often reported to have occurred during the summer months. Low socio-economic status was inversely associated with the occurrence of injury in the past year whereas risk-taking behaviour in the form of cigarette smoking and drinking alcohol was positively associated with injury occurrence.

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)0.004
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 score0.032
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 head0.019
GPT teacher head0.293
Teacher spread0.274 · 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

Citations18
Published2006
Admission routes2
Has abstractyes

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