Unintentional injury hospitalizations among children and youth in areas with a high percentage of Aboriginal identity residents: 2001/2002 to 2005/2006.
Bibliographic record
Abstract
BACKGROUND: Because administrative data typically do not contain Aboriginal identifiers, national unintentional injury hospitalization rates among Aboriginal children have not been reported. This study examines rates of unintentional injury hospitalization for children in areas with a high-percentage Aboriginal identity population. DATA AND METHODS: Data are from the Hospital Morbidity Database (2001/2002 to 2005/2006). Rates of unintentional injury hospitalization were calculated for 0- to 19-year-olds in census Dissemination Areas (DAs) where at least 33% of residents reported an Aboriginal identity. DAs were classified as high-percentage First Nations, Métis or Inuit identity based on the predominant group. RESULTS: Unintentional injury hospitalization rates of children and youth in high-percentage Aboriginal identity areas were at least double the rate for their contemporaries in low-percentage Aboriginal identity areas. Falls and land transportation were the most common causes of unintentional injury hospitalization, regardless of Aboriginal identity status, but disparities between rates for high- and low-percentage Aboriginal identity areas were often greatest for less frequent causes, such as fire, natural/environmental, and drowning/ suffocation. INTERPRETATION: The geographic areas where children live were associated with hospitalization rates for injury.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".