Home injuries in British Columbia: patterns across the deprivation spectrum
Bibliographic record
Abstract
The significant burden of home injuries has become a growing concern that affect thousands of people every year across Canada. This study examined the relationship between neighbourhood deprivation and unintentional injuries occurring at home leading to hospitalizations in British Columbia (BC) between 2015 and 2019. This study used de-identified hospitalization data on unintentional home-related injuries from the Discharge Abstract Database (DAD) and population data for each dissemination area from Statistics Canada's 2016 Census Profiles. Hospitalization rates were computed for unintentional home-related injuries across four dimensions specified in the Canadian Index of Multiple Deprivation (CIMD) for BC. For three CIMD dimensions (situational vulnerability, economic dependency, and residential instability), unintentional home injury rates were higher in areas with higher deprivation, while the inverse was observed for ethno-cultural diversity. Understanding socio-economic disparities within neighbourhoods enables injury prevention partners to identify vulnerable populations and prioritize the development and implementation of evidence-based injury prevention interventions.
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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 | 0.002 | 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".