Maternal reports of child injuries in Canada: trends and patterns by age and gender
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: This study examines gender and age differences in maternal reports of injuries in a cross sectional group of children aged 0-11 years. The cause, nature, body part injured, and location of injury are explored, as are the associations with family socioeconomic indicators and associations with limitations in activities. METHODS: Data for 22831 children and their families come from cycle 1 of the Canadian National Longitudinal Survey of Children and Youth collected in 1995. Descriptive analyses and chi2 tests for trends are used to examine injury variations by child gender and age. Logistic regressions are used to examine the relationship between socioeconomic indicators and injury and the associations between injury and limitations in activities. RESULTS: Consistent with findings from hospital data, boys experience more injuries than girls, and injuries increase with child age. Falls are the most common sources of maternally reported injuries, followed by scalds/poisonings for young children and sports injuries for school aged children. The majority of injuries occur in or around the home for young children, but at school for older children. For maternal reports of childhood injuries, single marital status is a risk factor for boys. CONCLUSIONS: Maternally reported injuries occur in 10% of Canadian children and many of these are associated with limitations in activities. Preventative strategies should take both child age and gender into consideration.
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.
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 | 0.000 | 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) | 0.001 | 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 it