Injuries in the Northwest Territories, Canada: 2000–09.
Bibliographic record
Abstract
INTRODUCTION: Injury is the third leading cause of death in the Northwest Territories (NWT). Among those aged 1–44 years, it is the leading cause of death. The goal of this study was to describe the epidemiology of injuries among NWT residents from 2000 to 2009. METHODS: A review of hospitalizations and deaths among NWT residents due to injury for the 2000–09 interval was conducted using data obtained from NWT Vital Statistics and hospital admissions obtained from Canadian Institute for Health Information's Discharge Abstracts Database. The NWT Statistics Bureau Population provided population data. Emergency room visits were not available for analysis. All analyses were performed using SPSS. RESULTS: Between 2000 and 2009, 308 NWT residents died as a result of an injury, an average of more than 30 deaths per year (crude injury death rate = 72 deaths per 100,000 population year). The top five leading causes of injury-related death were suicide, unintentional poisoning, motor vehicle traffic-related Injuries, drowning and falls. Intentional injuries (suicides and violence/injury purposely inflicted) accounted for 32% ( n = 100) of injury deaths whereas unintentional injuries accounted for 67% ( n = 205).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".